{"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/multi-scale-deformable-attn-pytorch","entry":"multi_scale_deformable_attn_pytorch","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":7,"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":7,"n_places_pointer_only":0,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":1,"ran":0,"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":"2509.04833","paper":"/paper/arxiv-2509-04833","title":"PropVG: End-to-End Proposal-Driven Visual Grounding with Multi-Granularity Discrimination","date":null,"month_inferred_from_arxiv_id":"2025-09","title_source":"syntology","repo":"Dmmm1997/PropVG","path":"propvg/layers/multi_scale_deform_attn.py","file_url":"https://github.com/Dmmm1997/PropVG/blob/HEAD/propvg/layers/multi_scale_deform_attn.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"be924e54ed79731b","mcp_get_code":{"code_sha256":"be924e54ed79731b"}},{"arxiv_id":"2503.10616","paper":"/paper/ovtr-end-to-end-open-vocabulary-multiple","title":"OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with Transformer","date":"2025-03-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"jinyanglii/OVTR","path":"ovtr/models/ms_deform_attn.py","file_url":"https://github.com/jinyanglii/OVTR/blob/HEAD/ovtr/models/ms_deform_attn.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"be924e54ed79731b","mcp_get_code":{"code_sha256":"be924e54ed79731b"}},{"arxiv_id":"2501.06710","paper":"/paper/multi-task-visual-grounding-with-coarse-to","title":"Multi-task Visual Grounding with Coarse-to-Fine Consistency Constraints","date":"2025-01-12","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"dmmm1997/c3vg","path":"c3vg/layers/multi_scale_deform_attn.py","file_url":"https://github.com/dmmm1997/c3vg/blob/HEAD/c3vg/layers/multi_scale_deform_attn.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"be924e54ed79731b","mcp_get_code":{"code_sha256":"be924e54ed79731b"}},{"arxiv_id":"2407.11335","paper":"/paper/lami-detr-open-vocabulary-detection-with","title":"LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction","date":"2024-07-16","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"eternaldolphin/LaMI-DETR","path":"lami_detr/modeling/lami_transformer.py","file_url":"https://github.com/eternaldolphin/LaMI-DETR/blob/HEAD/lami_detr/modeling/lami_transformer.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"be924e54ed79731b","mcp_get_code":{"code_sha256":"be924e54ed79731b"}},{"arxiv_id":"2401.14159","paper":"/paper/grounded-sam-assembling-open-world-models-for","title":"Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks","date":"2024-01-25","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"idea-research/groundingdino","path":"groundingdino/models/GroundingDINO/ms_deform_attn.py","file_url":"https://github.com/idea-research/groundingdino/blob/HEAD/groundingdino/models/GroundingDINO/ms_deform_attn.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"be924e54ed79731b","mcp_get_code":{"code_sha256":"be924e54ed79731b"}},{"arxiv_id":"2312.02153","paper":"/paper/aligning-and-prompting-everything-all-at-once","title":"Aligning and Prompting Everything All at Once for Universal Visual Perception","date":"2023-12-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"shenyunhang/ape","path":"ape/layers/multi_scale_deform_attn.py","file_url":"https://github.com/shenyunhang/ape/blob/HEAD/ape/layers/multi_scale_deform_attn.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"be924e54ed79731b","mcp_get_code":{"code_sha256":"be924e54ed79731b"}},{"arxiv_id":"Shen_Aligning_and_Prompting_Everything_All_at_Once_for_Universal_Visual_CVPR_2024_paper","paper":null,"title":"arXiv:Shen_Aligning_and_Prompting_Everything_All_at_Once_for_Universal_Visual_CVPR_2024_paper","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"shenyunhang/APE","path":"ape/layers/multi_scale_deform_attn.py","file_url":"https://github.com/shenyunhang/APE/blob/HEAD/ape/layers/multi_scale_deform_attn.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"be924e54ed79731b","mcp_get_code":{"code_sha256":"be924e54ed79731b"}}]}