{"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/get-transfrom-matrix","entry":"get_transfrom_matrix","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":0,"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":2,"n_samples_ran":0,"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":0,"ran":0,"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":"2508.20488","paper":"/paper/arxiv-2508-20488","title":"Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts","date":null,"month_inferred_from_arxiv_id":"2025-08","title_source":"syntology","repo":"hzcar/DUO","path":"MonoFlex-KITTI/model/heatmap_coder.py","file_url":"https://github.com/hzcar/DUO/blob/HEAD/MonoFlex-KITTI/model/heatmap_coder.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"194052ec40659a42","mcp_get_code":{"code_sha256":"194052ec40659a42"}},{"arxiv_id":"2404.03181","paper":"/paper/monocd-monocular-3d-object-detection-with","title":"MonoCD: Monocular 3D Object Detection with Complementary Depths","date":"2024-04-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"elvintanhust/monocd","path":"model/heatmap_coder.py","file_url":"https://github.com/elvintanhust/monocd/blob/HEAD/model/heatmap_coder.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"194052ec40659a42","mcp_get_code":{"code_sha256":"194052ec40659a42"}},{"arxiv_id":"2207.10047","paper":"/paper/densely-constrained-depth-estimator-for","title":"Densely Constrained Depth Estimator for Monocular 3D Object Detection","date":"2022-07-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"BraveGroup/DCD","path":"DGDE/model/heatmap_coder.py","file_url":"https://github.com/BraveGroup/DCD/blob/HEAD/DGDE/model/heatmap_coder.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"194052ec40659a42","mcp_get_code":{"code_sha256":"194052ec40659a42"}},{"arxiv_id":"2207.04448","paper":"/paper/mix-teaching-a-simple-unified-and-effective","title":"Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection","date":"2022-07-10","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"yanglei18/mix-teaching","path":"MonoFlex/model/heatmap_coder.py","file_url":"https://github.com/yanglei18/mix-teaching/blob/HEAD/MonoFlex/model/heatmap_coder.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":"194052ec40659a42","mcp_get_code":{"code_sha256":"194052ec40659a42"}},{"arxiv_id":"2206.07372","paper":"/paper/monoground-detecting-monocular-3d-objects-1","title":"MonoGround: Detecting Monocular 3D Objects from the Ground","date":"2022-06-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"cfzd/monoground","path":"model/heatmap_coder.py","file_url":"https://github.com/cfzd/monoground/blob/HEAD/model/heatmap_coder.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"194052ec40659a42","mcp_get_code":{"code_sha256":"194052ec40659a42"}},{"arxiv_id":"2104.02323","paper":"/paper/objects-are-different-flexible-monocular-3d","title":"Objects are Different: Flexible Monocular 3D Object Detection","date":"2021-04-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"zhangyp15/MonoFlex","path":"model/heatmap_coder.py","file_url":"https://github.com/zhangyp15/MonoFlex/blob/HEAD/model/heatmap_coder.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"194052ec40659a42","mcp_get_code":{"code_sha256":"194052ec40659a42"}},{"arxiv_id":"2002.10111","paper":"/paper/smoke-single-stage-monocular-3d-object","title":"SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation","date":"2020-02-24","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"lzccccc/SMOKE","path":"smoke/modeling/heatmap_coder.py","file_url":"https://github.com/lzccccc/SMOKE/blob/HEAD/smoke/modeling/heatmap_coder.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"a46a4b1c0a5a4ac2","mcp_get_code":{"code_sha256":"a46a4b1c0a5a4ac2"}}]}