{"about":{"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.","site":"https://codewithpapers.app","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","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/6d-pose-estimation/papers/ran/1","list_of":"/task/6d-pose-estimation","task":"6D Pose Estimation using RGB","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"ran","order_definition":"only papers where Syntology ran at least one harvested sample; date (newest first), ties by arXiv id","caption":"We ran code from the paper's repository; we did not run it on this task or check it against the task's benchmarks.","absence":"A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.","page":1,"pages_in_order":1,"rows_per_page":100,"rows":[1,26],"of":26,"counts":{"archive_papers_tagged":233,"with_a_code_link":94,"where_syntology_ran_a_sample":26,"not_listed_spam_title":0,"listed":233,"listed_where_code_ran":26,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":25,"every_run_a_failure_of_syntologys_instrument":1,"listed_with_a_run_with_no_instrument_failure":25,"listed_every_run_a_failure_of_syntologys_instrument":1,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/6d-pose-estimation/papers/ran/1","prev":null,"next":null,"papers":[{"url":"/paper/one2any-one-reference-6d-pose-estimation-for","slug":"one2any-one-reference-6d-pose-estimation-for","title":"One2Any: One-Reference 6D Pose Estimation for Any Object","date":"2025-05-07","arxiv_id":"2505.04109","repositories_listed":0,"syntology":{"n":19,"n_ran":13,"n_constructed":0,"n_ran_checked":13,"n_instrument":0,"n_unverified":6,"n_honours":0,"n_violates":0,"n_no_contract":13,"n_pointer_only":17,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 0 violated, 13 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified","sample_list":"/paper/one2any-one-reference-6d-pose-estimation-for#ran","syntology_url":"https://syntology.ai/paper/2505.04109","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2505.04109"}},"official":null}},{"url":"/paper/instance-adaptive-and-geometric-aware","slug":"instance-adaptive-and-geometric-aware","title":"Instance-Adaptive and Geometric-Aware Keypoint Learning for Category-Level 6D Object Pose Estimation","date":"2024-03-28","arxiv_id":"2403.19527","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":3,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"3 ran (of which 3 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; every one of the 3 samples that ran constructed an object rather than computing a result","sample_list":"/paper/instance-adaptive-and-geometric-aware#ran","syntology_url":"https://syntology.ai/paper/2403.19527","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.19527"}},"official":{"repos":["leeiieeo/ag-pose"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":3,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/real-time-holistic-robot-pose-estimation-with","slug":"real-time-holistic-robot-pose-estimation-with","title":"Real-time Holistic Robot Pose Estimation with Unknown States","date":"2024-02-08","arxiv_id":"2402.05655","repositories_listed":2,"syntology":{"n":7,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":7,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/real-time-holistic-robot-pose-estimation-with#ran","syntology_url":"https://syntology.ai/paper/2402.05655","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.05655"}},"official":{"repos":["oliverbansk/holistic-robot-pose-estimation","Oliverbansk/Hollistic-Robot-Pose-Estimation"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/se-3-diffusion-model-based-point-cloud","slug":"se-3-diffusion-model-based-point-cloud","title":"SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation","date":"2023-10-26","arxiv_id":"2310.17359","repositories_listed":1,"syntology":{"n":14,"n_ran":14,"n_constructed":1,"n_ran_checked":12,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":12,"n_pointer_only":1,"phrase":"14 ran (of which 1 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 0 violated, 12 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/se-3-diffusion-model-based-point-cloud#ran","syntology_url":"https://syntology.ai/paper/2310.17359","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.17359"}},"official":null}},{"url":"/paper/vi-net-boosting-category-level-6d-object-pose","slug":"vi-net-boosting-category-level-6d-object-pose","title":"VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations","date":"2023-08-19","arxiv_id":"2308.09916","repositories_listed":1,"syntology":{"n":10,"n_ran":10,"n_constructed":0,"n_ran_checked":10,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":10,"n_pointer_only":0,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/vi-net-boosting-category-level-6d-object-pose#ran","syntology_url":"https://syntology.ai/paper/2308.09916","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2308.09916"}},"official":{"repos":["jiehonglin/vi-net"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/confronting-ambiguity-in-6d-object-pose","slug":"confronting-ambiguity-in-6d-object-pose","title":"Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)","date":"2023-05-25","arxiv_id":"2305.15873","repositories_listed":1,"syntology":{"n":23,"n_ran":17,"n_constructed":0,"n_ran_checked":17,"n_instrument":0,"n_unverified":6,"n_honours":0,"n_violates":0,"n_no_contract":17,"n_pointer_only":0,"phrase":"17 ran (of which 0 constructed an object rather than computing a result; 17 with no instrument failure: 0 honoured, 0 violated, 17 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified","sample_list":"/paper/confronting-ambiguity-in-6d-object-pose#ran","syntology_url":"https://syntology.ai/paper/2305.15873","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2305.15873"}},"official":{"repos":["Ending2015a/liepose-diffusion"],"state":"official (archive's flag): 17 ran","n_ran":17,"n_constructed":0,"n_ran_no_instrument_failure":17,"n_unverified":6,"ran_from_kinds":["official"]}}},{"url":"/paper/rigidity-aware-detection-for-6d-object-pose","slug":"rigidity-aware-detection-for-6d-object-pose","title":"Rigidity-Aware Detection for 6D Object Pose Estimation","date":"2023-03-22","arxiv_id":"2303.12396","repositories_listed":2,"syntology":{"n":9,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/rigidity-aware-detection-for-6d-object-pose#ran","syntology_url":"https://syntology.ai/paper/2303.12396","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.12396"}},"official":{"repos":["yanghai-1218/radet"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/epro-pnp-generalized-end-to-end-probabilistic-1","slug":"epro-pnp-generalized-end-to-end-probabilistic-1","title":"EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation","date":"2023-03-22","arxiv_id":"2303.12787","repositories_listed":2,"syntology":{"n":8,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":1,"n_no_contract":5,"n_pointer_only":7,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 1 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/epro-pnp-generalized-end-to-end-probabilistic-1#ran","syntology_url":"https://syntology.ai/paper/2303.12787","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.12787"}},"official":{"repos":["tjiiv-cprg/epro-pnp-v2"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["listed"]}}},{"url":"/paper/3d-neural-embedding-likelihood-for-robust-sim","slug":"3d-neural-embedding-likelihood-for-robust-sim","title":"3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation","date":"2023-02-07","arxiv_id":"2302.03744","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/3d-neural-embedding-likelihood-for-robust-sim#ran","syntology_url":"https://syntology.ai/paper/2302.03744","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2302.03744"}},"official":{"repos":["deepmind/threednel"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/rnnpose-recurrent-6-dof-object-pose","slug":"rnnpose-recurrent-6-dof-object-pose","title":"RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization","date":"2022-03-24","arxiv_id":"2203.12870","repositories_listed":1,"syntology":{"n":5,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/rnnpose-recurrent-6-dof-object-pose#ran","syntology_url":"https://syntology.ai/paper/2203.12870","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.12870"}},"official":{"repos":["decayale/rnnpose"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/gpv-pose-category-level-object-pose","slug":"gpv-pose-category-level-object-pose","title":"GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting","date":"2022-03-15","arxiv_id":"2203.07918","repositories_listed":3,"syntology":{"n":9,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/gpv-pose-category-level-object-pose#ran","syntology_url":"https://syntology.ai/paper/2203.07918","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.07918"}},"official":{"repos":["lolrudy/gpv_pose"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/so-pose-exploiting-self-occlusion-for-direct","slug":"so-pose-exploiting-self-occlusion-for-direct","title":"SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation","date":"2021-08-18","arxiv_id":"2108.08367","repositories_listed":2,"syntology":{"n":16,"n_ran":13,"n_constructed":0,"n_ran_checked":13,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":13,"n_pointer_only":0,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 0 violated, 13 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/so-pose-exploiting-self-occlusion-for-direct#ran","syntology_url":"https://syntology.ai/paper/2108.08367","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2108.08367"}},"official":{"repos":["shangbuhuan13/so-pose"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/repose-real-time-iterative-rendering-and","slug":"repose-real-time-iterative-rendering-and","title":"RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering","date":"2021-04-01","arxiv_id":"2104.00633","repositories_listed":1,"syntology":{"n":10,"n_ran":8,"n_constructed":0,"n_ran_checked":8,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":8,"n_pointer_only":0,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/repose-real-time-iterative-rendering-and#ran","syntology_url":"https://syntology.ai/paper/2104.00633","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2104.00633"}},"official":{"repos":["sh8/repose"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/fs-net-fast-shape-based-network-for-category","slug":"fs-net-fast-shape-based-network-for-category","title":"FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism","date":"2021-03-12","arxiv_id":"2103.07054","repositories_listed":2,"syntology":{"n":8,"n_ran":7,"n_constructed":3,"n_ran_checked":3,"n_instrument":4,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"7 ran (of which 3 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 4 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/fs-net-fast-shape-based-network-for-category#ran","syntology_url":"https://syntology.ai/paper/2103.07054","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2103.07054"}},"official":{"repos":["DC1991/FS-Net"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"url":"/paper/bop-challenge-2020-on-6d-object-localization","slug":"bop-challenge-2020-on-6d-object-localization","title":"BOP Challenge 2020 on 6D Object Localization","date":"2020-09-15","arxiv_id":"2009.07378","repositories_listed":5,"syntology":{"n":30,"n_ran":27,"n_constructed":0,"n_ran_checked":25,"n_instrument":2,"n_unverified":3,"n_honours":2,"n_violates":0,"n_no_contract":23,"n_pointer_only":4,"phrase":"27 ran (of which 0 constructed an object rather than computing a result; 25 with no instrument failure: 2 honoured, 0 violated, 23 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/bop-challenge-2020-on-6d-object-localization#ran","syntology_url":"https://syntology.ai/paper/2009.07378","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2009.07378"}},"official":{"repos":["thodan/bop_toolkit"],"state":"official (archive's flag): 17 ran","n_ran":17,"n_constructed":0,"n_ran_no_instrument_failure":17,"n_unverified":1,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/cosypose-consistent-multi-view-multi-object","slug":"cosypose-consistent-multi-view-multi-object","title":"CosyPose: Consistent multi-view multi-object 6D pose estimation","date":"2020-08-19","arxiv_id":"2008.08465","repositories_listed":4,"syntology":{"n":13,"n_ran":10,"n_constructed":0,"n_ran_checked":9,"n_instrument":1,"n_unverified":3,"n_honours":2,"n_violates":0,"n_no_contract":7,"n_pointer_only":3,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 2 honoured, 0 violated, 7 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/cosypose-consistent-multi-view-multi-object#ran","syntology_url":"https://syntology.ai/paper/2008.08465","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2008.08465"}},"official":null}},{"url":"/paper/robust-6d-object-pose-estimation-by-learning","slug":"robust-6d-object-pose-estimation-by-learning","title":"Robust 6D Object Pose Estimation by Learning RGB-D Features","date":"2020-02-29","arxiv_id":"2003.00188","repositories_listed":1,"syntology":{"n":11,"n_ran":9,"n_constructed":0,"n_ran_checked":9,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":9,"n_pointer_only":1,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/robust-6d-object-pose-estimation-by-learning#ran","syntology_url":"https://syntology.ai/paper/2003.00188","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2003.00188"}},"official":{"repos":["mentian/object-posenet"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/hybridpose-6d-object-pose-estimation-under","slug":"hybridpose-6d-object-pose-estimation-under","title":"HybridPose: 6D Object Pose Estimation under Hybrid Representations","date":"2020-01-07","arxiv_id":"2001.01869","repositories_listed":3,"syntology":{"n":5,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":0,"n_honours":5,"n_violates":0,"n_no_contract":0,"n_pointer_only":2,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 5 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/hybridpose-6d-object-pose-estimation-under#ran","syntology_url":"https://syntology.ai/paper/2001.01869","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2001.01869"}},"official":{"repos":["chensong1995/HybridPose"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/pix2pose-pixel-wise-coordinate-regression-of","slug":"pix2pose-pixel-wise-coordinate-regression-of","title":"Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation","date":"2019-08-20","arxiv_id":"1908.07433","repositories_listed":3,"syntology":{"n":8,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/pix2pose-pixel-wise-coordinate-regression-of#ran","syntology_url":"https://syntology.ai/paper/1908.07433","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1908.07433"}},"official":null}},{"url":"/paper/dpod-dense-6d-pose-object-detector-in-rgb","slug":"dpod-dense-6d-pose-object-detector-in-rgb","title":"DPOD: 6D Pose Object Detector and Refiner","date":"2019-02-28","arxiv_id":"1902.11020","repositories_listed":2,"syntology":{"n":8,"n_ran":6,"n_constructed":0,"n_ran_checked":5,"n_instrument":1,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":1,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/dpod-dense-6d-pose-object-detector-in-rgb#ran","syntology_url":"https://syntology.ai/paper/1902.11020","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1902.11020"}},"official":{"repos":["zakharos/DPOD"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"url":"/paper/implicit-3d-orientation-learning-for-6d","slug":"implicit-3d-orientation-learning-for-6d","title":"Implicit 3D Orientation Learning for 6D Object Detection from RGB Images","date":"2019-02-04","arxiv_id":"1902.01275","repositories_listed":1,"syntology":{"n":5,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/implicit-3d-orientation-learning-for-6d#ran","syntology_url":"https://syntology.ai/paper/1902.01275","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1902.01275"}},"official":{"repos":["DLR-RM/AugmentedAutoencoder"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/normalized-object-coordinate-space-for","slug":"normalized-object-coordinate-space-for","title":"Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation","date":"2019-01-09","arxiv_id":"1901.02970","repositories_listed":10,"syntology":{"n":20,"n_ran":18,"n_constructed":0,"n_ran_checked":18,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":18,"n_pointer_only":0,"phrase":"18 ran (of which 0 constructed an object rather than computing a result; 18 with no instrument failure: 0 honoured, 0 violated, 18 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/normalized-object-coordinate-space-for#ran","syntology_url":"https://syntology.ai/paper/1901.02970","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1901.02970"}},"official":{"repos":["hughw19/NOCS_CVPR2019"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"url":"/paper/pvnet-pixel-wise-voting-network-for-6dof-pose","slug":"pvnet-pixel-wise-voting-network-for-6dof-pose","title":"PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation","date":"2018-12-31","arxiv_id":"1812.11788","repositories_listed":5,"syntology":{"n":11,"n_ran":8,"n_constructed":0,"n_ran_checked":8,"n_instrument":0,"n_unverified":3,"n_honours":2,"n_violates":0,"n_no_contract":6,"n_pointer_only":0,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 2 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/pvnet-pixel-wise-voting-network-for-6dof-pose#ran","syntology_url":"https://syntology.ai/paper/1812.11788","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1812.11788"}},"official":null}},{"url":"/paper/segmentation-driven-6d-object-pose-estimation","slug":"segmentation-driven-6d-object-pose-estimation","title":"Segmentation-driven 6D Object Pose Estimation","date":"2018-12-06","arxiv_id":"1812.02541","repositories_listed":5,"syntology":{"n":8,"n_ran":7,"n_constructed":0,"n_ran_checked":7,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/segmentation-driven-6d-object-pose-estimation#ran","syntology_url":"https://syntology.ai/paper/1812.02541","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1812.02541"}},"official":{"repos":["cvlab-epfl/segmentation-driven-pose"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"url":"/paper/estimating-6d-pose-from-localizing-designated","slug":"estimating-6d-pose-from-localizing-designated","title":"Estimating 6D Pose From Localizing Designated Surface Keypoints","date":"2018-12-04","arxiv_id":"1812.01387","repositories_listed":6,"syntology":{"n":7,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/estimating-6d-pose-from-localizing-designated#ran","syntology_url":"https://syntology.ai/paper/1812.01387","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1812.01387"}},"official":{"repos":["sjtuytc/betapose"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/deepim-deep-iterative-matching-for-6d-pose","slug":"deepim-deep-iterative-matching-for-6d-pose","title":"DeepIM: Deep Iterative Matching for 6D Pose Estimation","date":"2018-03-31","arxiv_id":"1804.00175","repositories_listed":2,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/deepim-deep-iterative-matching-for-6d-pose#ran","syntology_url":"https://syntology.ai/paper/1804.00175","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1804.00175"}},"official":null}}],"record_sha256":"20e59679af2b358ab90f71a951cd79363af99304f00cc46864c03cc33af95a81","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}