{"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/multiclass-nms","entry":"multiclass_nms","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":7,"n_papers_ran":5,"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":4,"n_samples_ran":2,"n_samples_fingerprinted":1,"n_places":7,"n_places_pointer_only":3,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":1,"ran":1,"unverified":2},"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":"2412.09349","paper":"/paper/dispose-disentangling-pose-guidance-for","title":"DisPose: Disentangling Pose Guidance for Controllable Human Image Animation","date":"2024-12-12","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"lihxxx/DisPose","path":"mimicmotion/dwpose/onnxdet.py","file_url":"https://github.com/lihxxx/DisPose/blob/HEAD/mimicmotion/dwpose/onnxdet.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"a54b37e54b4b1524","mcp_get_code":{"code_sha256":"a54b37e54b4b1524"}},{"arxiv_id":"2411.10499","paper":"/paper/fitdit-advancing-the-authentic-garment","title":"FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-on","date":"2024-11-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"BoyuanJiang/FitDiT","path":"preprocess/dwpose/onnxdet.py","file_url":"https://github.com/BoyuanJiang/FitDiT/blob/HEAD/preprocess/dwpose/onnxdet.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"8ad410cc3c1eb4b2","mcp_get_code":{"code_sha256":"8ad410cc3c1eb4b2"}},{"arxiv_id":"2410.24037","paper":"/paper/tpc-test-time-procrustes-calibration-for","title":"TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation","date":"2024-10-31","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"MooreThreads/Moore-AnimateAnyone","path":"src/dwpose/onnxdet.py","file_url":"https://github.com/MooreThreads/Moore-AnimateAnyone/blob/HEAD/src/dwpose/onnxdet.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"8ad410cc3c1eb4b2","mcp_get_code":{"code_sha256":"8ad410cc3c1eb4b2"}},{"arxiv_id":"2403.00326","paper":"/paper/dams-detr-dynamic-adaptive-multispectral","title":"DAMSDet: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusion","date":"2024-03-01","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"gjj45/DAMSDet","path":"ppdet/modeling/post_process.py","file_url":"https://github.com/gjj45/DAMSDet/blob/HEAD/ppdet/modeling/post_process.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":"0cf81b30bc14579c","mcp_get_code":{"code_sha256":"0cf81b30bc14579c"}},{"arxiv_id":"2308.07313","paper":"/paper/group-pose-a-simple-baseline-for-end-to-end","title":"Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation","date":"2023-08-14","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Michel-liu/GroupPose-Paddle","path":"ppdet/modeling/post_process.py","file_url":"https://github.com/Michel-liu/GroupPose-Paddle/blob/HEAD/ppdet/modeling/post_process.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":"0cf81b30bc14579c","mcp_get_code":{"code_sha256":"0cf81b30bc14579c"}},{"arxiv_id":"2307.15880","paper":"/paper/effective-whole-body-pose-estimation-with-two","title":"Effective Whole-body Pose Estimation with Two-stages Distillation","date":"2023-07-29","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"idea-research/dwpose","path":"ControlNet-v1-1-nightly/annotator/dwpose/onnxdet.py","file_url":"https://github.com/idea-research/dwpose/blob/HEAD/ControlNet-v1-1-nightly/annotator/dwpose/onnxdet.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"8ad410cc3c1eb4b2","mcp_get_code":{"code_sha256":"8ad410cc3c1eb4b2"}},{"arxiv_id":"2211.15444","paper":"/paper/damo-yolo-a-report-on-real-time-object","title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","date":"2022-11-23","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"tinyvision/damo-yolo","path":"damo/base_models/core/bbox_calculator.py","file_url":"https://github.com/tinyvision/damo-yolo/blob/HEAD/damo/base_models/core/bbox_calculator.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":false,"code_sha256_prefix":"4b9a2b63bf7abc9e","mcp_get_code":{"code_sha256":"4b9a2b63bf7abc9e"}}]}