{"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/build-backbone","entry":"build_backbone","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":29,"n_papers_ran":4,"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":27,"n_samples_ran":4,"n_samples_fingerprinted":1,"n_places":29,"n_places_pointer_only":12,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":4,"ran_fixture":0,"ran":0,"unverified":23},"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":"2606.19361","paper":"/paper/arxiv-2606-19361","title":"Computational Identifiability","date":null,"month_inferred_from_arxiv_id":"2026-06","title_source":"syntology","repo":"lbynum/metadentify","path":"src/metadentify/modules.py","file_url":"https://github.com/lbynum/metadentify/blob/HEAD/src/metadentify/modules.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"8f7a4e8145ef3403","mcp_get_code":{"code_sha256":"8f7a4e8145ef3403"}},{"arxiv_id":"2604.21349","paper":"/paper/arxiv-2604-21349","title":"Trust-SSL: Additive-Residual Selective Invariance for Robust Aerial Self-Supervised Learning","date":null,"month_inferred_from_arxiv_id":"2026-04","title_source":"syntology","repo":"WadiiBoulila/trust-ssl","path":"trust_ssl/models/trust_ssl.py","file_url":"https://github.com/WadiiBoulila/trust-ssl/blob/HEAD/trust_ssl/models/trust_ssl.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"d44addf4891198c9","mcp_get_code":{"code_sha256":"d44addf4891198c9"}},{"arxiv_id":"2601.11930","paper":"/paper/arxiv-2601-11930","title":"SupScene: Scene-Structured Overlap Supervision for Image Retrieval in Unconstrained SfM","date":null,"month_inferred_from_arxiv_id":"2026-01","title_source":"syntology","repo":"Suxilan/SupScene","path":"supscene/encoder.py","file_url":"https://github.com/Suxilan/SupScene/blob/HEAD/supscene/encoder.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":"8b0cb7354017c623","mcp_get_code":{"code_sha256":"8b0cb7354017c623"}},{"arxiv_id":"2504.04701","paper":"/paper/dformerv2-geometry-self-attention-for-rgbd","title":"DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentation","date":"2025-04-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"VCIP-RGBD/DFormer","path":"models/builder.py","file_url":"https://github.com/VCIP-RGBD/DFormer/blob/HEAD/models/builder.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"4e855a7a7f059a4a","mcp_get_code":{"code_sha256":"4e855a7a7f059a4a"}},{"arxiv_id":"2503.15141","paper":null,"title":"arXiv:2503.15141","date":null,"month_inferred_from_arxiv_id":"2025-03","title_source":null,"repo":"djukicn/ocebo","path":"models/ocebo.py","file_url":"https://github.com/djukicn/ocebo/blob/HEAD/models/ocebo.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":"286b4da95acdaf5e","mcp_get_code":{"code_sha256":"286b4da95acdaf5e"}},{"arxiv_id":"2501.05644","paper":"/paper/interpretable-enzyme-function-prediction-via","title":"Interpretable Enzyme Function Prediction via Residue-Level Detection","date":"2025-01-10","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"yangzhao1230/protdetr","path":"models/backbone.py","file_url":"https://github.com/yangzhao1230/protdetr/blob/HEAD/models/backbone.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"e54a325f11c4d6ab","mcp_get_code":{"code_sha256":"e54a325f11c4d6ab"}},{"arxiv_id":"2407.20545","paper":"/paper/stackflow-monocular-human-object","title":"StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset","date":"2024-07-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"huochf/StackFLOW","path":"stackflow/models/backbone.py","file_url":"https://github.com/huochf/StackFLOW/blob/HEAD/stackflow/models/backbone.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"af19a32d203e14ff","mcp_get_code":{"code_sha256":"af19a32d203e14ff"}},{"arxiv_id":"2407.03200","paper":"/paper/segvg-transferring-object-bounding-box-to","title":"SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding","date":"2024-07-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"WeitaiKang/SegVG","path":"models/SegVG.py","file_url":"https://github.com/WeitaiKang/SegVG/blob/HEAD/models/SegVG.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"f07174e325e1d5a1","mcp_get_code":{"code_sha256":"f07174e325e1d5a1"}},{"arxiv_id":"2404.03425","paper":"/paper/changemamba-remote-sensing-change-detection","title":"ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model","date":"2024-04-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"chenhongruixuan/mambacd","path":"changedetection/models/builders.py","file_url":"https://github.com/chenhongruixuan/mambacd/blob/HEAD/changedetection/models/builders.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":"f7fca94a333f0a3d","mcp_get_code":{"code_sha256":"f7fca94a333f0a3d"}},{"arxiv_id":"2402.18078","paper":"/paper/coarse-to-fine-latent-diffusion-for-pose","title":"Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis","date":"2024-02-28","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"YanzuoLu/CFLD","path":"models/swin_transformer.py","file_url":"https://github.com/YanzuoLu/CFLD/blob/HEAD/models/swin_transformer.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"0ffb0077d629ab71","mcp_get_code":{"code_sha256":"0ffb0077d629ab71"}},{"arxiv_id":"2402.11303","paper":"/paper/fvit-a-focal-vision-transformer-with-gabor","title":"FViT: A Focal Vision Transformer with Gabor Filter","date":"2024-02-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"nkusyl/fvit","path":"model/FViT.py","file_url":"https://github.com/nkusyl/fvit/blob/HEAD/model/FViT.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"3b6be43bd23e2f65","mcp_get_code":{"code_sha256":"3b6be43bd23e2f65"}},{"arxiv_id":"2401.06521","paper":"/paper/exploring-diverse-representations-for-open","title":"Exploring Diverse Representations for Open Set Recognition","date":"2024-01-12","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Vanixxz/MEDAF","path":"core/net.py","file_url":"https://github.com/Vanixxz/MEDAF/blob/HEAD/core/net.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"cfe611241567a0eb","mcp_get_code":{"code_sha256":"cfe611241567a0eb"}},{"arxiv_id":"2310.01410","paper":"/paper/leap-liberate-sparse-view-3d-modeling-from","title":"LEAP: Liberate Sparse-view 3D Modeling from Camera Poses","date":"2023-10-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"hwjiang1510/LEAP","path":"model/backbone.py","file_url":"https://github.com/hwjiang1510/LEAP/blob/HEAD/model/backbone.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"56ddbc51c088e033","mcp_get_code":{"code_sha256":"56ddbc51c088e033"}},{"arxiv_id":"2303.17342","paper":"/paper/pmatch-paired-masked-image-modeling-for-dense","title":"PMatch: Paired Masked Image Modeling for Dense Geometric Matching","date":"2023-03-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ShngJZ/PMatch","path":"PMatch/PMatch/models/pmatch.py","file_url":"https://github.com/ShngJZ/PMatch/blob/HEAD/PMatch/PMatch/models/pmatch.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"bcc3bfa51d551dd7","mcp_get_code":{"code_sha256":"bcc3bfa51d551dd7"}},{"arxiv_id":"2303.08682","paper":"/paper/rsfnet-a-white-box-image-retouching-approach","title":"RSFNet: A White-Box Image Retouching Approach using Region-Specific Color Filters","date":"2023-03-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Vicky0522/RSFNet","path":"basicsr/archs/rsfnet_arch.py","file_url":"https://github.com/Vicky0522/RSFNet/blob/HEAD/basicsr/archs/rsfnet_arch.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"GPL-3.0","inline_ok":false,"code_sha256_prefix":"3f2a8b563380070a","mcp_get_code":{"code_sha256":"3f2a8b563380070a"}},{"arxiv_id":"2210.12658","paper":"/paper/extending-phrase-grounding-with-pronouns-in","title":"Extending Phrase Grounding with Pronouns in Visual Dialogues","date":"2022-10-23","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"izhx/Phrase-Grounding-with-Pronoun","path":"code/src/mdetr/backbone.py","file_url":"https://github.com/izhx/Phrase-Grounding-with-Pronoun/blob/HEAD/code/src/mdetr/backbone.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":"ca02dee1629c9dbd","mcp_get_code":{"code_sha256":"ca02dee1629c9dbd"}},{"arxiv_id":"2209.02686","paper":"/paper/unpaired-image-translation-via-vector","title":"Unpaired Image Translation via Vector Symbolic Architectures","date":"2022-09-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"facebookresearch/vsait","path":"models/iit.py","file_url":"https://github.com/facebookresearch/vsait/blob/HEAD/models/iit.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"2140a69aa077ae18","mcp_get_code":{"code_sha256":"2140a69aa077ae18"}},{"arxiv_id":"2209.02242","paper":"/paper/ptseformer-progressive-temporal-spatial","title":"PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer Towards Video Object Detection","date":"2022-09-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Hon-Wong/PTSEFormer","path":"src/models/model_builder.py","file_url":"https://github.com/Hon-Wong/PTSEFormer/blob/HEAD/src/models/model_builder.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"008eda08de0fc359","mcp_get_code":{"code_sha256":"008eda08de0fc359"}},{"arxiv_id":"2203.16787","paper":"/paper/reflection-and-rotation-symmetry-detection","title":"Reflection and Rotation Symmetry Detection via Equivariant Learning","date":"2022-03-31","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ahyunSeo/EquiSym","path":"modeling/module.py","file_url":"https://github.com/ahyunSeo/EquiSym/blob/HEAD/modeling/module.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"0c33da5649aaadc7","mcp_get_code":{"code_sha256":"0c33da5649aaadc7"}},{"arxiv_id":"2111.12341","paper":"/paper/evdistill-asynchronous-events-to-end-task-1","title":"EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation","date":"2021-11-24","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"addisonwang2013/evdistill","path":"modeling/deeplab.py","file_url":"https://github.com/addisonwang2013/evdistill/blob/HEAD/modeling/deeplab.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"8157861ceb8eb470","mcp_get_code":{"code_sha256":"8157861ceb8eb470"}},{"arxiv_id":"2106.13230","paper":"/paper/video-swin-transformer","title":"Video Swin Transformer","date":"2021-06-24","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"PaddlePaddle/PaddleVideo","path":"paddlevideo/modeling/builder.py","file_url":"https://github.com/PaddlePaddle/PaddleVideo/blob/HEAD/paddlevideo/modeling/builder.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":"bd2c60c19da90ad9","mcp_get_code":{"code_sha256":"bd2c60c19da90ad9"}},{"arxiv_id":"2105.10886","paper":"/paper/vs-net-voting-with-segmentation-for-visual","title":"VS-Net: Voting with Segmentation for Visual Localization","date":"2021-05-23","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"zju3dv/VS-Net","path":"models/vs_net.py","file_url":"https://github.com/zju3dv/VS-Net/blob/HEAD/models/vs_net.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":"5c2833e31e74538a","mcp_get_code":{"code_sha256":"5c2833e31e74538a"}},{"arxiv_id":"2104.00680","paper":"/paper/loftr-detector-free-local-feature-matching","title":"LoFTR: Detector-Free Local Feature Matching with Transformers","date":"2021-04-01","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"kolkir/coarse_loftr_trt","path":"loftr/loftr.py","file_url":"https://github.com/kolkir/coarse_loftr_trt/blob/HEAD/loftr/loftr.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":"7031281c61f439e7","mcp_get_code":{"code_sha256":"7031281c61f439e7"}},{"arxiv_id":"2103.11468","paper":"/paper/learning-multi-scene-absolute-pose-regression","title":"Learning Multi-Scene Absolute Pose Regression with Transformers","date":"2021-03-21","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"yolish/c2f-ms-transformer","path":"models/transposenet/C2FEMSTransPoseNet.py","file_url":"https://github.com/yolish/c2f-ms-transformer/blob/HEAD/models/transposenet/C2FEMSTransPoseNet.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"238b8ce452598dbe","mcp_get_code":{"code_sha256":"238b8ce452598dbe"}},{"arxiv_id":"2008.02265","paper":"/paper/learning-long-term-visual-dynamics-with","title":"Learning Long-term Visual Dynamics with Region Proposal Interaction Networks","date":"2020-08-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"HaozhiQi/RPIN","path":"rpin/models/rpcin.py","file_url":"https://github.com/HaozhiQi/RPIN/blob/HEAD/rpin/models/rpcin.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"3763a600c2f4099c","mcp_get_code":{"code_sha256":"3763a600c2f4099c"}},{"arxiv_id":"1911.07559","paper":"/paper/ffa-net-feature-fusion-attention-network-for","title":"FFA-Net: Feature Fusion Attention Network for Single Image Dehazing","date":"2019-11-18","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"bitcjm/PaddleVideo","path":"paddlevideo/modeling/builder.py","file_url":"https://github.com/bitcjm/PaddleVideo/blob/HEAD/paddlevideo/modeling/builder.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":"bd2c60c19da90ad9","mcp_get_code":{"code_sha256":"bd2c60c19da90ad9"}},{"arxiv_id":"1911.06644","paper":"/paper/you-only-watch-once-a-unified-cnn","title":"You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization","date":"2019-11-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"zwtu/YOWO-Paddle","path":"paddlevideo/modeling/builder.py","file_url":"https://github.com/zwtu/YOWO-Paddle/blob/HEAD/paddlevideo/modeling/builder.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":"bd2c60c19da90ad9","mcp_get_code":{"code_sha256":"bd2c60c19da90ad9"}},{"arxiv_id":"1802.02611","paper":"/paper/encoder-decoder-with-atrous-separable","title":"Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation","date":"2018-02-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"giovanniguidi/deeplabV3-PyTorch","path":"models/deeplab.py","file_url":"https://github.com/giovanniguidi/deeplabV3-PyTorch/blob/HEAD/models/deeplab.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"d4f09015805919e2","mcp_get_code":{"code_sha256":"d4f09015805919e2"}},{"arxiv_id":"1506.01497","paper":"/paper/faster-r-cnn-towards-real-time-object","title":"Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks","date":"2015-06-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"object-detection-algorithm/RPN","path":"py/rpn/models/detector/rpn_detector.py","file_url":"https://github.com/object-detection-algorithm/RPN/blob/HEAD/py/rpn/models/detector/rpn_detector.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":"f582f4ac06db0801","mcp_get_code":{"code_sha256":"f582f4ac06db0801"}}]}