{"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/post-act-block-dense","entry":"post_act_block_dense","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":11,"n_papers_ran":11,"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":1,"n_samples_ran":1,"n_samples_fingerprinted":0,"n_places":11,"n_places_pointer_only":0,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":1,"unverified":0},"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":"2503.08639","paper":null,"title":"arXiv:2503.08639","date":null,"month_inferred_from_arxiv_id":"2025-03","title_source":null,"repo":"open-mmlab/OpenPCDet","path":"pcdet/models/backbones_3d/spconv_backbone_2d.py","file_url":"https://github.com/open-mmlab/OpenPCDet/blob/HEAD/pcdet/models/backbones_3d/spconv_backbone_2d.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"0d095007c24b14c0","mcp_get_code":{"code_sha256":"0d095007c24b14c0"}},{"arxiv_id":"2503.06435","paper":"/paper/ov-scan-semantically-consistent-alignment-for","title":"OV-SCAN: Semantically Consistent Alignment for Novel Object Discovery in Open-Vocabulary 3D Object Detection","date":"2025-03-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ahtchow/OV-SCAN","path":"OV-SCAN/pcdet/models/backbones_3d/spconv_backbone_2d.py","file_url":"https://github.com/ahtchow/OV-SCAN/blob/HEAD/OV-SCAN/pcdet/models/backbones_3d/spconv_backbone_2d.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"0d095007c24b14c0","mcp_get_code":{"code_sha256":"0d095007c24b14c0"}},{"arxiv_id":"2407.09787","paper":"/paper/semi-supervised-3d-object-detection-with-1","title":"Semi-supervised 3D Object Detection with PatchTeacher and PillarMix","date":"2024-07-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"LittlePey/PTPM","path":"pcdet/models/backbones_3d/spconv_backbone_2d.py","file_url":"https://github.com/LittlePey/PTPM/blob/HEAD/pcdet/models/backbones_3d/spconv_backbone_2d.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"0d095007c24b14c0","mcp_get_code":{"code_sha256":"0d095007c24b14c0"}},{"arxiv_id":"2403.13556","paper":"/paper/find-n-propagate-open-vocabulary-3d-object","title":"Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments","date":"2024-03-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"djamahl99/findnpropagate","path":"pcdet/models/backbones_3d/spconv_backbone_2d.py","file_url":"https://github.com/djamahl99/findnpropagate/blob/HEAD/pcdet/models/backbones_3d/spconv_backbone_2d.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"0d095007c24b14c0","mcp_get_code":{"code_sha256":"0d095007c24b14c0"}},{"arxiv_id":"2403.05817","paper":"/paper/safdnet-a-simple-and-effective-network-for","title":"SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object Detection","date":"2024-03-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"zhanggang001/HEDNet","path":"pcdet/models/backbones_3d/spconv_backbone_2d.py","file_url":"https://github.com/zhanggang001/HEDNet/blob/HEAD/pcdet/models/backbones_3d/spconv_backbone_2d.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"0d095007c24b14c0","mcp_get_code":{"code_sha256":"0d095007c24b14c0"}},{"arxiv_id":"2401.07240","paper":"/paper/dcdet-dynamic-cross-based-3d-object-detector","title":"DCDet: Dynamic Cross-based 3D Object Detector","date":"2024-01-14","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Say2L/DCDet","path":"pcdet/models/backbones_3d/spconv_backbone_2d.py","file_url":"https://github.com/Say2L/DCDet/blob/HEAD/pcdet/models/backbones_3d/spconv_backbone_2d.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"0d095007c24b14c0","mcp_get_code":{"code_sha256":"0d095007c24b14c0"}},{"arxiv_id":"2401.00912","paper":"/paper/scatterformer-efficient-voxel-transformer","title":"ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention","date":"2024-01-01","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"skyhehe123/ScatterFormer","path":"pcdet/models/backbones_3d/spconv_backbone_2d.py","file_url":"https://github.com/skyhehe123/ScatterFormer/blob/HEAD/pcdet/models/backbones_3d/spconv_backbone_2d.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"0d095007c24b14c0","mcp_get_code":{"code_sha256":"0d095007c24b14c0"}},{"arxiv_id":"2308.07732","paper":"/paper/unitr-a-unified-and-efficient-multi-modal","title":"UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation","date":"2023-08-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"haiyang-w/unitr","path":"pcdet/models/backbones_3d/spconv_backbone_2d.py","file_url":"https://github.com/haiyang-w/unitr/blob/HEAD/pcdet/models/backbones_3d/spconv_backbone_2d.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"0d095007c24b14c0","mcp_get_code":{"code_sha256":"0d095007c24b14c0"}},{"arxiv_id":"1907.03670","paper":"/paper/part-a2-net-3d-part-aware-and-aggregation","title":"From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network","date":"2019-07-08","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"sshaoshuai/PointCloudDet3D","path":"pcdet/models/backbones_3d/spconv_backbone_2d.py","file_url":"https://github.com/sshaoshuai/PointCloudDet3D/blob/HEAD/pcdet/models/backbones_3d/spconv_backbone_2d.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"0d095007c24b14c0","mcp_get_code":{"code_sha256":"0d095007c24b14c0"}},{"arxiv_id":"Dang_FASTer_Focal_token_Acquiring-and-Scaling_Transformer_for_Long-term_3D_Objection_Detection_CVPR_2025_paper","paper":null,"title":"arXiv:Dang_FASTer_Focal_token_Acquiring-and-Scaling_Transformer_for_Long-term_3D_Objection_Detection_CVPR_2025_paper","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"MSunDYY/FASTer","path":"pcdet/models/backbones_3d/spconv_backbone_2d.py","file_url":"https://github.com/MSunDYY/FASTer/blob/HEAD/pcdet/models/backbones_3d/spconv_backbone_2d.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"0d095007c24b14c0","mcp_get_code":{"code_sha256":"0d095007c24b14c0"}},{"arxiv_id":"03732","paper":null,"title":"arXiv:03732","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"jskvrna/TCC-Det","path":"modified_openpcdet/pcdet/models/backbones_3d/spconv_backbone_2d.py","file_url":"https://github.com/jskvrna/TCC-Det/blob/HEAD/modified_openpcdet/pcdet/models/backbones_3d/spconv_backbone_2d.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"0d095007c24b14c0","mcp_get_code":{"code_sha256":"0d095007c24b14c0"}}]}