{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/code/inverse-sigmoid","entry":"inverse_sigmoid","source":"Syntology graph, per-sample; not an archive number","read_at":"2026-09-24T18:15:14+00:00","claim":"Names are grouped by exact entry-name string. Same-named routines are NOT asserted to be equivalent; 'ran' means executed on a synthesized fixture, not correctness. n_samples_ran = sum of by_status over every status except 'unverified' (ran_draft_wrong and ran_fixture are failures of Syntology's instrument, not of the code); n_papers_ran = papers with at least one such sample.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"},"n_papers":80,"n_papers_ran":61,"units":"n_samples, n_samples_ran, n_samples_fingerprinted and by_status count distinct code bodies (code_sha256); n_places and n_places_pointer_only count places, one per (paper, code body) pair, which is also the unit of the samples list","n_samples":19,"n_samples_ran":13,"n_samples_fingerprinted":13,"n_places":81,"n_places_pointer_only":30,"by_status":{"ran_honours":1,"ran_violates":1,"ran_draft_wrong":7,"ran_fixture":0,"ran":4,"unverified":6},"syntology":{"atlas_url":null,"mcp":null,"mcp_per_sample":{"tool":"get_code","arguments_in":"samples[].mcp_get_code"},"developers":"https://syntology.ai/developers"},"samples":[{"arxiv_id":"2609.02318","paper":"/paper/arxiv-2609-02318","title":"YesTrack: Referring Multi-Object Tracking via MLLM-based Yes/No Verification","date":null,"month_inferred_from_arxiv_id":"2026-09","title_source":"syntology","repo":"ggbondrighthere24/YesTrack","path":"utils/misc.py","file_url":"https://github.com/ggbondrighthere24/YesTrack/blob/HEAD/utils/misc.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"b4c4991a4f855b9d","mcp_get_code":{"code_sha256":"b4c4991a4f855b9d"}},{"arxiv_id":"2601.22990","paper":"/paper/arxiv-2601-22990","title":"Self-Supervised Slice-to-Volume Reconstruction with Gaussian Representations for Fetal MRI","date":null,"month_inferred_from_arxiv_id":"2026-01","title_source":"syntology","repo":"Yinsong0510/GaussianSVR-Self-Supervised-Slice-to-Volume-Reconstruction-with-Gaussian-Representations","path":"src/gs_utils/general_utils.py","file_url":"https://github.com/Yinsong0510/GaussianSVR-Self-Supervised-Slice-to-Volume-Reconstruction-with-Gaussian-Representations/blob/HEAD/src/gs_utils/general_utils.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"b488da571728b636","mcp_get_code":{"code_sha256":"b488da571728b636"}},{"arxiv_id":"2507.19993","paper":null,"title":"arXiv:2507.19993","date":null,"month_inferred_from_arxiv_id":"2025-07","title_source":null,"repo":"Howardkhh/FROSS","path":"EGTR/model/deformable_detr.py","file_url":"https://github.com/Howardkhh/FROSS/blob/HEAD/EGTR/model/deformable_detr.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"83c03ceb1307c6c4","mcp_get_code":{"code_sha256":"83c03ceb1307c6c4"}},{"arxiv_id":"2507.19239","paper":null,"title":"arXiv:2507.19239","date":null,"month_inferred_from_arxiv_id":"2025-07","title_source":null,"repo":"zhongjiaru/CoopTrack","path":"projects/mmdet3d_plugin/cooptrack/modules/decoder.py","file_url":"https://github.com/zhongjiaru/CoopTrack/blob/HEAD/projects/mmdet3d_plugin/cooptrack/modules/decoder.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"f3855be53d36327d","mcp_get_code":{"code_sha256":"f3855be53d36327d"}},{"arxiv_id":"2506.13348","paper":"/paper/texturesplat-per-primitive-texture-mapping","title":"TextureSplat: Per-Primitive Texture Mapping for Reflective Gaussian Splatting","date":"2025-06-16","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"maeyounes/texturesplat","path":"scene/light.py","file_url":"https://github.com/maeyounes/texturesplat/blob/HEAD/scene/light.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"b488da571728b636","mcp_get_code":{"code_sha256":"b488da571728b636"}},{"arxiv_id":"2501.07305","paper":"/paper/the-devil-is-in-the-spurious-correlation","title":"The Devil is in the Spurious Correlation: Boosting Moment Retrieval via Temporal Dynamic Learning","date":"2025-01-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"xyangzhou/TD-DETR","path":"td_detr/model.py","file_url":"https://github.com/xyangzhou/TD-DETR/blob/HEAD/td_detr/model.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"6897880b6ce14c94","mcp_get_code":{"code_sha256":"6897880b6ce14c94"}},{"arxiv_id":"2412.13441","paper":"/paper/flashvtg-feature-layering-and-adaptive-score","title":"FlashVTG: Feature Layering and Adaptive Score Handling Network for Video Temporal Grounding","date":"2024-12-18","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"zhuo-cao/flashvtg","path":"FlashVTG/transformer.py","file_url":"https://github.com/zhuo-cao/flashvtg/blob/HEAD/FlashVTG/transformer.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"6897880b6ce14c94","mcp_get_code":{"code_sha256":"6897880b6ce14c94"}},{"arxiv_id":"2412.10371","paper":"/paper/gaussianad-gaussian-centric-end-to-end","title":"GaussianAD: Gaussian-Centric End-to-End Autonomous Driving","date":"2024-12-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"wzzheng/gaussianad","path":"loss/occupancy_loss.py","file_url":"https://github.com/wzzheng/gaussianad/blob/HEAD/loss/occupancy_loss.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"15715bd88c8ed092","mcp_get_code":{"code_sha256":"15715bd88c8ed092"}},{"arxiv_id":"2412.04384","paper":"/paper/probabilistic-gaussian-superposition-for","title":"GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction","date":"2024-12-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"huang-yh/gaussianformer","path":"loss/occupancy_loss.py","file_url":"https://github.com/huang-yh/gaussianformer/blob/HEAD/loss/occupancy_loss.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"15715bd88c8ed092","mcp_get_code":{"code_sha256":"15715bd88c8ed092"}},{"arxiv_id":"2412.04234","paper":"/paper/deim-detr-with-improved-matching-for-fast","title":"DEIM: DETR with Improved Matching for Fast Convergence","date":"2024-12-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"shihuahuang95/deim","path":"engine/deim/utils.py","file_url":"https://github.com/shihuahuang95/deim/blob/HEAD/engine/deim/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"2fff86fc7c917b0c","mcp_get_code":{"code_sha256":"2fff86fc7c917b0c"}},{"arxiv_id":"2411.19551","paper":"/paper/bootstraping-clustering-of-gaussians-for-view","title":"Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding","date":"2024-11-29","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"wb014/FreeGS","path":"utils/general_utils.py","file_url":"https://github.com/wb014/FreeGS/blob/HEAD/utils/general_utils.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"b488da571728b636","mcp_get_code":{"code_sha256":"b488da571728b636"}},{"arxiv_id":"2411.16443","paper":"/paper/splatflow-multi-view-rectified-flow-model-for","title":"SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis","date":"2024-11-25","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"gohyojun15/SplatFlow","path":"model/refiner/camera_util.py","file_url":"https://github.com/gohyojun15/SplatFlow/blob/HEAD/model/refiner/camera_util.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"b488da571728b636","mcp_get_code":{"code_sha256":"b488da571728b636"}},{"arxiv_id":"2411.15723","paper":"/paper/gsurf-3d-reconstruction-via-signed-distance","title":"GSurf: 3D Reconstruction via Signed Distance Fields with Direct Gaussian Supervision","date":"2024-11-24","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"xubaixinxbx/gsurf","path":"utils/general_utils.py","file_url":"https://github.com/xubaixinxbx/gsurf/blob/HEAD/utils/general_utils.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"b488da571728b636","mcp_get_code":{"code_sha256":"b488da571728b636"}},{"arxiv_id":"2410.11419","paper":"/paper/gs-3-efficient-relighting-with-triple","title":"GS^3: Efficient Relighting with Triple Gaussian Splatting","date":"2024-10-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"gsrelight/gs-relight","path":"utils/general_utils.py","file_url":"https://github.com/gsrelight/gs-relight/blob/HEAD/utils/general_utils.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"GPL-3.0","inline_ok":false,"code_sha256_prefix":"b488da571728b636","mcp_get_code":{"code_sha256":"b488da571728b636"}},{"arxiv_id":"2409.18341","paper":"/paper/does-end-to-end-autonomous-driving-really","title":"Does End-to-End Autonomous Driving Really Need Perception Tasks?","date":"2024-09-26","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"PeidongLi/SSR","path":"projects/mmdet3d_plugin/SSR/SSR_transformer.py","file_url":"https://github.com/PeidongLi/SSR/blob/HEAD/projects/mmdet3d_plugin/SSR/SSR_transformer.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"f3855be53d36327d","mcp_get_code":{"code_sha256":"f3855be53d36327d"}},{"arxiv_id":"2408.12246","paper":"/paper/ova-detr-open-vocabulary-aerial-object","title":"OVA-DETR: Open Vocabulary Aerial Object Detection Using Image-Text Alignment and Fusion","date":"2024-08-22","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"GT-Wei/RT-OVAD","path":"src/zoo/itc_ovad/utils.py","file_url":"https://github.com/GT-Wei/RT-OVAD/blob/HEAD/src/zoo/itc_ovad/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"2fff86fc7c917b0c","mcp_get_code":{"code_sha256":"2fff86fc7c917b0c"}},{"arxiv_id":"2408.05075","paper":"/paper/deepinteraction-multi-modality-interaction","title":"DeepInteraction++: Multi-Modality Interaction for Autonomous Driving","date":"2024-08-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"fudan-zvg/DeepInteraction","path":"projects/mmdet3d_plugin/models/backbones/swin_utils.py","file_url":"https://github.com/fudan-zvg/DeepInteraction/blob/HEAD/projects/mmdet3d_plugin/models/backbones/swin_utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"f3855be53d36327d","mcp_get_code":{"code_sha256":"f3855be53d36327d"}},{"arxiv_id":"2408.02901","paper":"/paper/2408-02901","title":"Lighthouse: A User-Friendly Library for Reproducible Video Moment Retrieval and Highlight Detection","date":"2024-08-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"line/lighthouse","path":"lighthouse/common/cg_detr.py","file_url":"https://github.com/line/lighthouse/blob/HEAD/lighthouse/common/cg_detr.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"6897880b6ce14c94","mcp_get_code":{"code_sha256":"6897880b6ce14c94"}},{"arxiv_id":"2407.15051","paper":"/paper/prior-knowledge-integration-via-llm-encoding","title":"Prior Knowledge Integration via LLM Encoding and Pseudo Event Regulation for Video Moment Retrieval","date":"2024-07-21","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"fletcherjiang/llmepet","path":"llm_epet/model.py","file_url":"https://github.com/fletcherjiang/llmepet/blob/HEAD/llm_epet/model.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"BSD-3-Clause","inline_ok":true,"code_sha256_prefix":"6897880b6ce14c94","mcp_get_code":{"code_sha256":"6897880b6ce14c94"}},{"arxiv_id":"2407.13584","paper":"/paper/connecting-consistency-distillation-to-score","title":"Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation","date":"2024-07-18","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"LMozart/ECCV2024-GCS-BEG","path":"utils/general_utils.py","file_url":"https://github.com/LMozart/ECCV2024-GCS-BEG/blob/HEAD/utils/general_utils.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"b488da571728b636","mcp_get_code":{"code_sha256":"b488da571728b636"}},{"arxiv_id":"2407.10749","paper":"/paper/seed-a-simple-and-effective-3d-detr-in-point","title":"SEED: A Simple and Effective 3D DETR in Point Clouds","date":"2024-07-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"happinesslz/SEED","path":"pcdet/models/dense_heads/seed_head.py","file_url":"https://github.com/happinesslz/SEED/blob/HEAD/pcdet/models/dense_heads/seed_head.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"83c03ceb1307c6c4","mcp_get_code":{"code_sha256":"83c03ceb1307c6c4"}},{"arxiv_id":"2407.05118","paper":"/paper/shine-saliency-aware-hierarchical-negative","title":"SHINE: Saliency-aware HIerarchical NEgative Ranking for Compositional Temporal Grounding","date":"2024-07-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"zxccade/SHINE","path":"shine/model.py","file_url":"https://github.com/zxccade/SHINE/blob/HEAD/shine/model.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"6897880b6ce14c94","mcp_get_code":{"code_sha256":"6897880b6ce14c94"}},{"arxiv_id":"2407.04699","paper":"/paper/lara-efficient-large-baseline-radiance-fields","title":"LaRa: Efficient Large-Baseline Radiance Fields","date":"2024-07-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"autonomousvision/lara","path":"lightning/renderer.py","file_url":"https://github.com/autonomousvision/lara/blob/HEAD/lightning/renderer.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"b488da571728b636","mcp_get_code":{"code_sha256":"b488da571728b636"}},{"arxiv_id":"2406.17601","paper":"/paper/director3d-real-world-camera-trajectory-and","title":"Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text","date":"2024-06-25","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"imlixinyang/director3d","path":"utils.py","file_url":"https://github.com/imlixinyang/director3d/blob/HEAD/utils.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"b488da571728b636","mcp_get_code":{"code_sha256":"b488da571728b636"}},{"arxiv_id":"2406.03184","paper":"/paper/ouroboros3d-image-to-3d-generation-via-3d","title":"Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion","date":"2024-06-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Costwen/Ouroboros3D","path":"src/utils/general.py","file_url":"https://github.com/Costwen/Ouroboros3D/blob/HEAD/src/utils/general.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"b488da571728b636","mcp_get_code":{"code_sha256":"b488da571728b636"}},{"arxiv_id":"2405.20693","paper":"/paper/r-2-gaussian-rectifying-radiative-gaussian","title":"R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction","date":"2024-05-31","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Ruyi-Zha/r2_gaussian","path":"r2_gaussian/utils/gaussian_utils.py","file_url":"https://github.com/Ruyi-Zha/r2_gaussian/blob/HEAD/r2_gaussian/utils/gaussian_utils.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"b488da571728b636","mcp_get_code":{"code_sha256":"b488da571728b636"}},{"arxiv_id":"2405.20669","paper":"/paper/fourier123-one-image-to-high-quality-3d","title":"Hybrid Fourier Score Distillation for Efficient One Image to 3D Object Generation","date":"2024-05-31","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Ysz2022/Fourier123","path":"gs_renderer.py","file_url":"https://github.com/Ysz2022/Fourier123/blob/HEAD/gs_renderer.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"b488da571728b636","mcp_get_code":{"code_sha256":"b488da571728b636"}},{"arxiv_id":"2405.19933","paper":"/paper/learning-latent-graph-structures-and-their","title":"Learning Latent Graph Structures and their Uncertainty","date":"2024-05-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"allemanenti/Learning-Calibrated-Structures","path":"utils/utils.py","file_url":"https://github.com/allemanenti/Learning-Calibrated-Structures/blob/HEAD/utils/utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"1a375795f2408153","mcp_get_code":{"code_sha256":"1a375795f2408153"}},{"arxiv_id":"2404.09263","paper":"/paper/task-driven-exploration-decoupling-and-inter","title":"Task-Driven Exploration: Decoupling and Inter-Task Feedback for Joint Moment Retrieval and Highlight Detection","date":"2024-04-14","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"EdenGabriel/TaskWeave","path":"taskweave/model.py","file_url":"https://github.com/EdenGabriel/TaskWeave/blob/HEAD/taskweave/model.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"6897880b6ce14c94","mcp_get_code":{"code_sha256":"6897880b6ce14c94"}},{"arxiv_id":"2404.06091","paper":"/paper/hash3d-training-free-acceleration-for-3d","title":"Hash3D: Training-free Acceleration for 3D Generation","date":"2024-04-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Adamdad/hash3D","path":"dreamgaussian-hash3d/gs_renderer.py","file_url":"https://github.com/Adamdad/hash3D/blob/HEAD/dreamgaussian-hash3d/gs_renderer.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"b488da571728b636","mcp_get_code":{"code_sha256":"b488da571728b636"}},{"arxiv_id":"2404.04624","paper":"/paper/bridging-the-gap-between-end-to-end-and-two","title":"Bridging the Gap Between End-to-End and Two-Step Text Spotting","date":"2024-04-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":null,"path":"","file_url":null,"status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":null,"inline_ok":false,"code_sha256_prefix":"6897880b6ce14c94","mcp_get_code":{"code_sha256":"6897880b6ce14c94"}},{"arxiv_id":"2404.03736","paper":"/paper/sc4d-sparse-controlled-video-to-4d-generation","title":"SC4D: Sparse-Controlled Video-to-4D Generation and Motion Transfer","date":"2024-04-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"jarrentwu1031/sc4d","path":"gs_renderer.py","file_url":"https://github.com/jarrentwu1031/sc4d/blob/HEAD/gs_renderer.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"b488da571728b636","mcp_get_code":{"code_sha256":"b488da571728b636"}},{"arxiv_id":"2404.02072","paper":"/paper/egtr-extracting-graph-from-transformer-for","title":"EGTR: Extracting Graph from Transformer for Scene Graph Generation","date":"2024-04-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"naver-ai/egtr","path":"model/deformable_detr.py","file_url":"https://github.com/naver-ai/egtr/blob/HEAD/model/deformable_detr.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"83c03ceb1307c6c4","mcp_get_code":{"code_sha256":"83c03ceb1307c6c4"}},{"arxiv_id":"2403.19495","paper":"/paper/coherentgs-sparse-novel-view-synthesis-with","title":"CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians","date":"2024-03-28","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":null,"path":"","file_url":null,"status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":null,"inline_ok":false,"code_sha256_prefix":"b488da571728b636","mcp_get_code":{"code_sha256":"b488da571728b636"}},{"arxiv_id":"2403.16848","paper":"/paper/multiple-object-tracking-as-id-prediction","title":"Multiple Object Tracking as ID Prediction","date":"2024-03-25","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"MCG-NJU/MOTIP","path":"models/misc.py","file_url":"https://github.com/MCG-NJU/MOTIP/blob/HEAD/models/misc.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"1ea73e7b284d1fd3","mcp_get_code":{"code_sha256":"1ea73e7b284d1fd3"}},{"arxiv_id":"2403.16131","paper":"/paper/salience-detr-enhancing-detection-transformer-1","title":"Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement","date":"2024-03-24","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"xiuqhou/Salience-DETR","path":"models/detectors/salience_detr.py","file_url":"https://github.com/xiuqhou/Salience-DETR/blob/HEAD/models/detectors/salience_detr.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"24d843af1035723e","mcp_get_code":{"code_sha256":"24d843af1035723e"}},{"arxiv_id":"2403.16095","paper":"/paper/cg-slam-efficient-dense-rgb-d-slam-in-a","title":"CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Field","date":"2024-03-24","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"hjr37/CG-SLAM","path":"gaussian_utils/general_utils.py","file_url":"https://github.com/hjr37/CG-SLAM/blob/HEAD/gaussian_utils/general_utils.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"b488da571728b636","mcp_get_code":{"code_sha256":"b488da571728b636"}},{"arxiv_id":"2403.14370","paper":"/paper/synctweedies-a-general-generative-framework","title":"SyncTweedies: A General Generative Framework Based on Synchronized Diffusions","date":"2024-03-21","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"KAIST-Visual-AI-Group/SyncTweedies","path":"synctweedies/model/gaussian_splatting_model.py","file_url":"https://github.com/KAIST-Visual-AI-Group/SyncTweedies/blob/HEAD/synctweedies/model/gaussian_splatting_model.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"b488da571728b636","mcp_get_code":{"code_sha256":"b488da571728b636"}},{"arxiv_id":"2403.10353","paper":"/paper/simpb-a-single-model-for-2d-and-3d-object","title":"SimPB: A Single Model for 2D and 3D Object Detection from Multiple Cameras","date":"2024-03-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"nullmax-vision/SimPB","path":"projects/mmdet3d_plugin/models/group_attn.py","file_url":"https://github.com/nullmax-vision/SimPB/blob/HEAD/projects/mmdet3d_plugin/models/group_attn.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"83c03ceb1307c6c4","mcp_get_code":{"code_sha256":"83c03ceb1307c6c4"}},{"arxiv_id":"2402.13243","paper":"/paper/vadv2-end-to-end-vectorized-autonomous","title":"VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning","date":"2024-02-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"hustvl/VAD","path":"projects/mmdet3d_plugin/VAD/VAD_transformer.py","file_url":"https://github.com/hustvl/VAD/blob/HEAD/projects/mmdet3d_plugin/VAD/VAD_transformer.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"f3855be53d36327d","mcp_get_code":{"code_sha256":"f3855be53d36327d"}},{"arxiv_id":"2401.02309","paper":"/paper/tr-detr-task-reciprocal-transformer-for-joint","title":"TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and Highlight Detection","date":"2024-01-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"mingyao1120/tr-detr","path":"tr_detr/model.py","file_url":"https://github.com/mingyao1120/tr-detr/blob/HEAD/tr_detr/model.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"6897880b6ce14c94","mcp_get_code":{"code_sha256":"6897880b6ce14c94"}},{"arxiv_id":"2401.01578","paper":"/paper/context-guided-spatio-temporal-video","title":"Context-Guided Spatio-Temporal Video Grounding","date":"2024-01-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"henglan/cgstvg","path":"models/net_utils.py","file_url":"https://github.com/henglan/cgstvg/blob/HEAD/models/net_utils.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"6897880b6ce14c94","mcp_get_code":{"code_sha256":"6897880b6ce14c94"}},{"arxiv_id":"2312.17118","paper":"/paper/fully-sparse-3d-panoptic-occupancy-prediction","title":"Fully Sparse 3D Occupancy Prediction","date":"2023-12-28","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"mcg-nju/sparsebev","path":"models/utils.py","file_url":"https://github.com/mcg-nju/sparsebev/blob/HEAD/models/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"f3855be53d36327d","mcp_get_code":{"code_sha256":"f3855be53d36327d"}},{"arxiv_id":"2312.13271","paper":"/paper/repaint123-fast-and-high-quality-one-image-to","title":"Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting","date":"2023-12-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"junwuzhang19/repaint123","path":"gs_renderer.py","file_url":"https://github.com/junwuzhang19/repaint123/blob/HEAD/gs_renderer.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"b488da571728b636","mcp_get_code":{"code_sha256":"b488da571728b636"}},{"arxiv_id":"2312.12155","paper":"/paper/towards-balanced-alignment-modal-enhanced","title":"Towards Balanced Alignment: Modal-Enhanced Semantic Modeling for Video Moment Retrieval","date":"2023-12-19","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"lntzm/mesm","path":"model/transformer.py","file_url":"https://github.com/lntzm/mesm/blob/HEAD/model/transformer.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"6897880b6ce14c94","mcp_get_code":{"code_sha256":"6897880b6ce14c94"}},{"arxiv_id":"2312.06518","paper":"/paper/decoupling-meta-reinforcement-learning-with","title":"Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills","date":"2023-12-11","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"hehongc/DCMRL","path":"simpl/math.py","file_url":"https://github.com/hehongc/DCMRL/blob/HEAD/simpl/math.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"cece4e40242d2a10","mcp_get_code":{"code_sha256":"cece4e40242d2a10"}},{"arxiv_id":"2312.00083","paper":"/paper/bam-detr-boundary-aligned-moment-detection","title":"BAM-DETR: Boundary-Aligned Moment Detection Transformer for Temporal Sentence Grounding in Videos","date":"2023-11-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Pilhyeon/BAM-DETR","path":"bam_detr/model.py","file_url":"https://github.com/Pilhyeon/BAM-DETR/blob/HEAD/bam_detr/model.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"6897880b6ce14c94","mcp_get_code":{"code_sha256":"6897880b6ce14c94"}},{"arxiv_id":"2311.17082","paper":"/paper/dreampropeller-supercharge-text-to-3d","title":"DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling","date":"2023-11-28","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"alexzhou907/dreampropeller","path":"dreamgaussian/gs_renderer.py","file_url":"https://github.com/alexzhou907/dreampropeller/blob/HEAD/dreamgaussian/gs_renderer.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"b488da571728b636","mcp_get_code":{"code_sha256":"b488da571728b636"}},{"arxiv_id":"2311.17061","paper":"/paper/humangaussian-text-driven-3d-human-generation","title":"HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting","date":"2023-11-28","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"silence-tang/gaussianip","path":"gs_renderer.py","file_url":"https://github.com/silence-tang/gaussianip/blob/HEAD/gs_renderer.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"b488da571728b636","mcp_get_code":{"code_sha256":"b488da571728b636"}},{"arxiv_id":"2311.16464","paper":"/paper/bridging-the-gap-a-unified-video","title":"Bridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight Detection","date":"2023-11-28","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"easonxiao-888/uvcom","path":"uvcom/model.py","file_url":"https://github.com/easonxiao-888/uvcom/blob/HEAD/uvcom/model.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"6897880b6ce14c94","mcp_get_code":{"code_sha256":"6897880b6ce14c94"}},{"arxiv_id":"2311.11284","paper":"/paper/luciddreamer-towards-high-fidelity-text-to-3d","title":"LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching","date":"2023-11-19","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"envision-research/luciddreamer","path":"utils/general_utils.py","file_url":"https://github.com/envision-research/luciddreamer/blob/HEAD/utils/general_utils.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"b488da571728b636","mcp_get_code":{"code_sha256":"b488da571728b636"}},{"arxiv_id":"2311.08835","paper":"/paper/correlation-guided-query-dependency","title":"Correlation-Guided Query-Dependency Calibration for Video Temporal Grounding","date":"2023-11-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"wjun0830/qd-detr","path":"qd_detr/model.py","file_url":"https://github.com/wjun0830/qd-detr/blob/HEAD/qd_detr/model.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"6897880b6ce14c94","mcp_get_code":{"code_sha256":"6897880b6ce14c94"}},{"arxiv_id":"2309.14516","paper":"/paper/unibev-multi-modal-3d-object-detection-with","title":"UniBEV: Multi-modal 3D Object Detection with Uniform BEV Encoders for Robustness against Missing Sensor Modalities","date":"2023-09-25","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"tudelft-iv/unibev","path":"projects/UniBEV/unibev_plugin/models/modules/decoder.py","file_url":"https://github.com/tudelft-iv/unibev/blob/HEAD/projects/UniBEV/unibev_plugin/models/modules/decoder.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"f3855be53d36327d","mcp_get_code":{"code_sha256":"f3855be53d36327d"}},{"arxiv_id":"2308.06947","paper":"/paper/knowing-where-to-focus-event-aware","title":"Knowing Where to Focus: Event-aware Transformer for Video Grounding","date":"2023-08-14","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"jinhyunj/eatr","path":"misc.py","file_url":"https://github.com/jinhyunj/eatr/blob/HEAD/misc.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"6897880b6ce14c94","mcp_get_code":{"code_sha256":"6897880b6ce14c94"}},{"arxiv_id":"2308.06202","paper":"/paper/exploring-predicate-visual-context-in","title":"Exploring Predicate Visual Context in Detecting Human-Object Interactions","date":"2023-08-11","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"fredzzhang/pvic","path":"pvic.py","file_url":"https://github.com/fredzzhang/pvic/blob/HEAD/pvic.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"BSD-3-Clause","inline_ok":true,"code_sha256_prefix":"83c03ceb1307c6c4","mcp_get_code":{"code_sha256":"83c03ceb1307c6c4"}},{"arxiv_id":"2308.04583","paper":"/paper/latr-3d-lane-detection-from-monocular-images","title":"LATR: 3D Lane Detection from Monocular Images with Transformer","date":"2023-08-08","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"JMoonr/LATR","path":"models/utils.py","file_url":"https://github.com/JMoonr/LATR/blob/HEAD/models/utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"c12fa9dce0d5fd34","mcp_get_code":{"code_sha256":"c12fa9dce0d5fd34"}},{"arxiv_id":"2308.04409","paper":"/paper/v-detr-detr-with-vertex-relative-position","title":"V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection","date":"2023-08-08","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"yichaoshen-ms/v-detr","path":"models/vdetr_transformer.py","file_url":"https://github.com/yichaoshen-ms/v-detr/blob/HEAD/models/vdetr_transformer.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"83c03ceb1307c6c4","mcp_get_code":{"code_sha256":"83c03ceb1307c6c4"}},{"arxiv_id":"2307.16377","paper":"/paper/jotr-3d-joint-contrastive-learning-with","title":"JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery","date":"2023-07-31","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"xljh0520/jotr","path":"common/nets/transformer.py","file_url":"https://github.com/xljh0520/jotr/blob/HEAD/common/nets/transformer.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"83c03ceb1307c6c4","mcp_get_code":{"code_sha256":"83c03ceb1307c6c4"}},{"arxiv_id":"2307.15700","paper":"/paper/memotr-long-term-memory-augmented-transformer","title":"MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking","date":"2023-07-28","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"MCG-NJU/MeMOTR","path":"models/memotr.py","file_url":"https://github.com/MCG-NJU/MeMOTR/blob/HEAD/models/memotr.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"bd7d1844c78a5ac3","mcp_get_code":{"code_sha256":"bd7d1844c78a5ac3"}},{"arxiv_id":"2307.02869","paper":"/paper/momentdiff-generative-video-moment-retrieval","title":"MomentDiff: Generative Video Moment Retrieval from Random to Real","date":"2023-07-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"imccretrieval/momentdiff","path":"momentdiff/model.py","file_url":"https://github.com/imccretrieval/momentdiff/blob/HEAD/momentdiff/model.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"6897880b6ce14c94","mcp_get_code":{"code_sha256":"6897880b6ce14c94"}},{"arxiv_id":"2304.00967","paper":"/paper/temporal-enhanced-training-of-multi-view-3d","title":"Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction","date":"2023-04-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Sense-X/HoP","path":"mmdet3d_plugin/hop/modules/decoder.py","file_url":"https://github.com/Sense-X/HoP/blob/HEAD/mmdet3d_plugin/hop/modules/decoder.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"f3855be53d36327d","mcp_get_code":{"code_sha256":"f3855be53d36327d"}},{"arxiv_id":"2303.13959","paper":"/paper/stereoscene-bev-assisted-stereo-matching","title":"Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion","date":"2023-03-24","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Arlo0o/StereoScene","path":"projects/mmdet3d_plugin/bevformer/modules/decoder.py","file_url":"https://github.com/Arlo0o/StereoScene/blob/HEAD/projects/mmdet3d_plugin/bevformer/modules/decoder.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"f3855be53d36327d","mcp_get_code":{"code_sha256":"f3855be53d36327d"}},{"arxiv_id":"2211.10439","paper":"/paper/bevformer-v2-adapting-modern-image-backbones","title":"BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision","date":"2022-11-18","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"fundamentalvision/BEVFormer","path":"projects/mmdet3d_plugin/bevformer/modules/decoder.py","file_url":"https://github.com/fundamentalvision/BEVFormer/blob/HEAD/projects/mmdet3d_plugin/bevformer/modules/decoder.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"f3855be53d36327d","mcp_get_code":{"code_sha256":"f3855be53d36327d"}},{"arxiv_id":"2208.01582","paper":"/paper/vip3d-end-to-end-visual-trajectory-prediction","title":"ViP3D: End-to-end Visual Trajectory Prediction via 3D Agent Queries","date":"2022-08-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Tsinghua-MARS-Lab/ViP3D","path":"plugin/vip3d/models/attention_dert3d.py","file_url":"https://github.com/Tsinghua-MARS-Lab/ViP3D/blob/HEAD/plugin/vip3d/models/attention_dert3d.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"c12fa9dce0d5fd34","mcp_get_code":{"code_sha256":"c12fa9dce0d5fd34"}},{"arxiv_id":"2207.01878","paper":"/paper/vision-based-uneven-bev-representation","title":"Vision-based Uneven BEV Representation Learning with Polar Rasterization and Surface Estimation","date":"2022-07-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"superz-liu/polarbev","path":"polarbev/models/img2bev.py","file_url":"https://github.com/superz-liu/polarbev/blob/HEAD/polarbev/models/img2bev.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"83c03ceb1307c6c4","mcp_get_code":{"code_sha256":"83c03ceb1307c6c4"}},{"arxiv_id":"2206.15398","paper":"/paper/polarformer-multi-camera-3d-object-detection","title":"PolarFormer: Multi-camera 3D Object Detection with Polar Transformer","date":"2022-06-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"fudan-zvg/polarformer","path":"projects/mmdet3d_plugin/models/utils/polar_transformer.py","file_url":"https://github.com/fudan-zvg/polarformer/blob/HEAD/projects/mmdet3d_plugin/models/utils/polar_transformer.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"c12fa9dce0d5fd34","mcp_get_code":{"code_sha256":"c12fa9dce0d5fd34"}},{"arxiv_id":"2205.13600","paper":"/paper/myosuite-a-contact-rich-simulation-suite-for","title":"MyoSuite -- A contact-rich simulation suite for musculoskeletal motor control","date":"2022-05-26","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"myo-manipulation/spasticmyoelbow","path":"dev/model_validation_experiment.py","file_url":"https://github.com/myo-manipulation/spasticmyoelbow/blob/HEAD/dev/model_validation_experiment.py","status":"ran_violates","verification_level":1,"contract_check":"VIOLATES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"a110880086c35bb4","mcp_get_code":{"code_sha256":"a110880086c35bb4"}},{"arxiv_id":"2203.10642","paper":"/paper/futr3d-a-unified-sensor-fusion-framework-for","title":"FUTR3D: A Unified Sensor Fusion Framework for 3D Detection","date":"2022-03-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"tsinghua-mars-lab/futr3d","path":"plugin/futr3d/models/utils/futr3d_attention.py","file_url":"https://github.com/tsinghua-mars-lab/futr3d/blob/HEAD/plugin/futr3d/models/utils/futr3d_attention.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"f3855be53d36327d","mcp_get_code":{"code_sha256":"f3855be53d36327d"}},{"arxiv_id":"2203.01305","paper":"/paper/dn-detr-accelerate-detr-training-by","title":"DN-DETR: Accelerate DETR Training by Introducing Query DeNoising","date":"2022-03-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"IDEA-Research/detrex","path":"detrex/layers/denoising.py","file_url":"https://github.com/IDEA-Research/detrex/blob/HEAD/detrex/layers/denoising.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"49611009ffc9cf17","mcp_get_code":{"code_sha256":"49611009ffc9cf17"}},{"arxiv_id":"2112.12970","paper":"/paper/sgtr-end-to-end-scene-graph-generation-with","title":"SGTR: End-to-end Scene Graph Generation with Transformer","date":"2021-12-24","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"scarecrow0/sgtr","path":"cvpods/layers/deformable_transformer.py","file_url":"https://github.com/scarecrow0/sgtr/blob/HEAD/cvpods/layers/deformable_transformer.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":false,"code_sha256_prefix":"83c03ceb1307c6c4","mcp_get_code":{"code_sha256":"83c03ceb1307c6c4"}},{"arxiv_id":"2110.06923","paper":"/paper/object-dgcnn-3d-object-detection-using","title":"Object DGCNN: 3D Object Detection using Dynamic Graphs","date":"2021-10-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"wangyueft/detr3d","path":"projects/mmdet3d_plugin/models/utils/detr3d_transformer.py","file_url":"https://github.com/wangyueft/detr3d/blob/HEAD/projects/mmdet3d_plugin/models/utils/detr3d_transformer.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"f3855be53d36327d","mcp_get_code":{"code_sha256":"f3855be53d36327d"}},{"arxiv_id":"2106.09708","paper":"/paper/multi-label-learning-from-single-positive","title":"Multi-Label Learning from Single Positive Labels","date":"2021-06-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"elijahcole/single-positive-multi-label","path":"models.py","file_url":"https://github.com/elijahcole/single-positive-multi-label/blob/HEAD/models.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"1d978fb1ef9ac6b3","mcp_get_code":{"code_sha256":"1d978fb1ef9ac6b3"}},{"arxiv_id":"2103.11161","paper":"/paper/montefloor-extending-mcts-for-reconstructing","title":"MonteFloor: Extending MCTS for Reconstructing Accurate Large-Scale Floor Plans","date":"2021-03-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"woodfrog/poly-diffuse","path":"src/models/polygon_models/polygon_net.py","file_url":"https://github.com/woodfrog/poly-diffuse/blob/HEAD/src/models/polygon_models/polygon_net.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"GPL-3.0","inline_ok":false,"code_sha256_prefix":"83c03ceb1307c6c4","mcp_get_code":{"code_sha256":"83c03ceb1307c6c4"}},{"arxiv_id":"2010.04159","paper":"/paper/deformable-detr-deformable-transformers-for-1","title":"Deformable DETR: Deformable Transformers for End-to-End Object Detection","date":"2020-10-08","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"LONGXUANX/CDFormer_code","path":"models/deformable_transformer.py","file_url":"https://github.com/LONGXUANX/CDFormer_code/blob/HEAD/models/deformable_transformer.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"806f660f9474c72d","mcp_get_code":{"code_sha256":"806f660f9474c72d"}},{"arxiv_id":"2010.04159","paper":"/paper/deformable-detr-deformable-transformers-for-1","title":"Deformable DETR: Deformable Transformers for End-to-End Object Detection","date":"2020-10-08","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Visual-Behavior/aloception","path":"alonet/deformable_detr/deformable_transformer.py","file_url":"https://github.com/Visual-Behavior/aloception/blob/HEAD/alonet/deformable_detr/deformable_transformer.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"a57888d65b00fb2b","mcp_get_code":{"code_sha256":"a57888d65b00fb2b"}},{"arxiv_id":"1905.08500","paper":"/paper/compression-with-flows-via-local-bits-back","title":"Compression with Flows via Local Bits-Back Coding","date":"2019-05-21","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"hojonathanho/localbitsback","path":"compression/utils.py","file_url":"https://github.com/hojonathanho/localbitsback/blob/HEAD/compression/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"755efb24f63a5a6c","mcp_get_code":{"code_sha256":"755efb24f63a5a6c"}},{"arxiv_id":"aaai_28177","paper":null,"title":"arXiv:aaai_28177","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"lntzm/MESM","path":"model/transformer.py","file_url":"https://github.com/lntzm/MESM/blob/HEAD/model/transformer.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"6897880b6ce14c94","mcp_get_code":{"code_sha256":"6897880b6ce14c94"}},{"arxiv_id":"aaai_27844","paper":null,"title":"arXiv:aaai_27844","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"retsuh-bqw/SRFormer-Text-Det","path":"adet/modeling/srformer/utils.py","file_url":"https://github.com/retsuh-bqw/SRFormer-Text-Det/blob/HEAD/adet/modeling/srformer/utils.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"83c03ceb1307c6c4","mcp_get_code":{"code_sha256":"83c03ceb1307c6c4"}},{"arxiv_id":"Xiao_Bridging_the_Gap_A_Unified_Video_Comprehension_Framework_for_Moment_CVPR_2024_paper","paper":null,"title":"arXiv:Xiao_Bridging_the_Gap_A_Unified_Video_Comprehension_Framework_for_Moment_CVPR_2024_paper","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"EasonXiao-888/UVCOM","path":"uvcom/model.py","file_url":"https://github.com/EasonXiao-888/UVCOM/blob/HEAD/uvcom/model.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"6897880b6ce14c94","mcp_get_code":{"code_sha256":"6897880b6ce14c94"}},{"arxiv_id":"Shi_Matching_Is_Not_Enough_A_Two-Stage_Framework_for_Category-Agnostic_Pose_CVPR_2023_paper","paper":null,"title":"arXiv:Shi_Matching_Is_Not_Enough_A_Two-Stage_Framework_for_Category-Agnostic_Pose_CVPR_2023_paper","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"flyinglynx/CapeFormer","path":"capeformer/models/keypoint_heads/two_stage_head.py","file_url":"https://github.com/flyinglynx/CapeFormer/blob/HEAD/capeformer/models/keypoint_heads/two_stage_head.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"6897880b6ce14c94","mcp_get_code":{"code_sha256":"6897880b6ce14c94"}},{"arxiv_id":"Chu_RaCFormer_Towards_High-Quality_3D_Object_Detection_via_Query-based_Radar-Camera_Fusion_CVPR_2025_paper","paper":null,"title":"arXiv:Chu_RaCFormer_Towards_High-Quality_3D_Object_Detection_via_Query-based_Radar-Camera_Fusion_CVPR_2025_paper","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"cxmomo/RaCFormer","path":"models/utils.py","file_url":"https://github.com/cxmomo/RaCFormer/blob/HEAD/models/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"f3855be53d36327d","mcp_get_code":{"code_sha256":"f3855be53d36327d"}}]}