{"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/weakly-supervised-object-detection/papers/ran/1","list_of":"/task/weakly-supervised-object-detection","task":"Weakly Supervised Object Detection","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":[1,15],"of":15,"counts":{"archive_papers_tagged":142,"with_a_code_link":58,"where_syntology_ran_a_sample":15,"not_listed_spam_title":0,"listed":142,"listed_where_code_ran":15,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":13,"every_run_a_failure_of_syntologys_instrument":2,"listed_with_a_run_with_no_instrument_failure":13,"listed_every_run_a_failure_of_syntologys_instrument":2,"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/weakly-supervised-object-detection/papers/ran/1","prev":null,"next":null,"papers":[{"url":"/paper/leod-label-efficient-object-detection-for","slug":"leod-label-efficient-object-detection-for","title":"LEOD: Label-Efficient Object Detection for Event Cameras","date":"2023-11-29","arxiv_id":"2311.17286","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":0,"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) · 0 unverified","sample_list":"/paper/leod-label-efficient-object-detection-for#ran","syntology_url":"https://syntology.ai/paper/2311.17286","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2311.17286"}},"official":{"repos":["Wuziyi616/LEOD"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/max-pooling-with-vision-transformers","slug":"max-pooling-with-vision-transformers","title":"Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation","date":"2022-10-31","arxiv_id":"2210.17400","repositories_listed":1,"syntology":{"n":5,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":3,"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) · 3 unverified","sample_list":"/paper/max-pooling-with-vision-transformers#ran","syntology_url":"https://syntology.ai/paper/2210.17400","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2210.17400"}},"official":{"repos":["deepplants/vit-pcm"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/imaginarynet-learning-object-detectors","slug":"imaginarynet-learning-object-detectors","title":"ImaginaryNet: Learning Object Detectors without Real Images and Annotations","date":"2022-10-13","arxiv_id":"2210.06886","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":1,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":1,"n_no_contract":0,"n_pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/imaginarynet-learning-object-detectors#ran","syntology_url":"https://syntology.ai/paper/2210.06886","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2210.06886"}},"official":{"repos":["kodenii/imaginarynet"],"state":"official: no sample here; runs from other or unrecorded repositories","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["unlocated"]}}},{"url":"/paper/sess-saliency-enhancing-with-scaling-and","slug":"sess-saliency-enhancing-with-scaling-and","title":"SESS: Saliency Enhancing with Scaling and Sliding","date":"2022-07-05","arxiv_id":"2207.01769","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":2,"n_ran_checked":2,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":2,"phrase":"2 ran (of which 2 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; every one of the 2 samples that ran constructed an object rather than computing a result","sample_list":"/paper/sess-saliency-enhancing-with-scaling-and#ran","syntology_url":"https://syntology.ai/paper/2207.01769","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2207.01769"}},"official":{"repos":["neouyghur/sess"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/siod-single-instance-annotated-per-category","slug":"siod-single-instance-annotated-per-category","title":"SIOD: Single Instance Annotated Per Category Per Image for Object Detection","date":"2022-03-29","arxiv_id":"2203.15353","repositories_listed":1,"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/siod-single-instance-annotated-per-category#ran","syntology_url":"https://syntology.ai/paper/2203.15353","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.15353"}},"official":{"repos":["solicucu/siod"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/self-supervised-transformers-for-unsupervised","slug":"self-supervised-transformers-for-unsupervised","title":"Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut","date":"2022-02-23","arxiv_id":"2202.11539","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":0,"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/self-supervised-transformers-for-unsupervised#ran","syntology_url":"https://syntology.ai/paper/2202.11539","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2202.11539"}},"official":null}},{"url":"/paper/boosting-weakly-supervised-object-detection-1","slug":"boosting-weakly-supervised-object-detection-1","title":"Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters","date":"2021-08-03","arxiv_id":"2108.01499","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/boosting-weakly-supervised-object-detection-1#ran","syntology_url":"https://syntology.ai/paper/2108.01499","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2108.01499"}},"official":{"repos":["DongSky/lbba_boosted_wsod"],"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/comprehensive-attention-self-distillation-for","slug":"comprehensive-attention-self-distillation-for","title":"Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection","date":"2020-10-22","arxiv_id":"2010.12023","repositories_listed":1,"syntology":{"n":6,"n_ran":4,"n_constructed":0,"n_ran_checked":3,"n_instrument":1,"n_unverified":2,"n_honours":3,"n_violates":0,"n_no_contract":0,"n_pointer_only":6,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 3 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/comprehensive-attention-self-distillation-for#ran","syntology_url":"https://syntology.ai/paper/2010.12023","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2010.12023"}},"official":{"repos":["DeLightCMU/CASD"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/boosting-weakly-supervised-object-detection","slug":"boosting-weakly-supervised-object-detection","title":"Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer","date":"2020-07-15","arxiv_id":"2007.07986","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":4,"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) · 0 unverified","sample_list":"/paper/boosting-weakly-supervised-object-detection#ran","syntology_url":"https://syntology.ai/paper/2007.07986","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2007.07986"}},"official":{"repos":["mikuhatsune/wsod_transfer"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/instance-aware-context-focused-and-memory","slug":"instance-aware-context-focused-and-memory","title":"Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection","date":"2020-04-09","arxiv_id":"2004.04725","repositories_listed":2,"syntology":{"n":5,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":0,"phrase":"5 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; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/instance-aware-context-focused-and-memory#ran","syntology_url":"https://syntology.ai/paper/2004.04725","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2004.04725"}},"official":{"repos":["NVlabs/wetectron"],"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/wsod2-learning-bottom-up-and-top-down-1","slug":"wsod2-learning-bottom-up-and-top-down-1","title":"WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection","date":"2019-09-11","arxiv_id":"1909.04972","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":3,"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) · 0 unverified","sample_list":"/paper/wsod2-learning-bottom-up-and-top-down-1#ran","syntology_url":"https://syntology.ai/paper/1909.04972","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1909.04972"}},"official":null}},{"url":"/paper/weakly-supervised-complementary-parts-models","slug":"weakly-supervised-complementary-parts-models","title":"Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up","date":"2019-03-07","arxiv_id":"1903.02827","repositories_listed":1,"syntology":{"n":9,"n_ran":7,"n_constructed":0,"n_ran_checked":7,"n_instrument":0,"n_unverified":2,"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) · 2 unverified","sample_list":"/paper/weakly-supervised-complementary-parts-models#ran","syntology_url":"https://syntology.ai/paper/1903.02827","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1903.02827"}},"official":null}},{"url":"/paper/pcl-proposal-cluster-learning-for-weakly","slug":"pcl-proposal-cluster-learning-for-weakly","title":"PCL: Proposal Cluster Learning for Weakly Supervised Object Detection","date":"2018-07-09","arxiv_id":"1807.03342","repositories_listed":4,"syntology":{"n":7,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":3,"n_honours":1,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/pcl-proposal-cluster-learning-for-weakly#ran","syntology_url":"https://syntology.ai/paper/1807.03342","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1807.03342"}},"official":{"repos":["ppengtang/oicr"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/cross-domain-weakly-supervised-object","slug":"cross-domain-weakly-supervised-object","title":"Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation","date":"2018-03-30","arxiv_id":"1803.11365","repositories_listed":3,"syntology":{"n":11,"n_ran":8,"n_constructed":0,"n_ran_checked":7,"n_instrument":1,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":1,"phrase":"8 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; 1 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/cross-domain-weakly-supervised-object#ran","syntology_url":"https://syntology.ai/paper/1803.11365","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1803.11365"}},"official":{"repos":["naoto0804/cross-domain-detection"],"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/weakly-supervised-deep-detection-networks","slug":"weakly-supervised-deep-detection-networks","title":"Weakly Supervised Deep Detection Networks","date":"2015-11-09","arxiv_id":"1511.02853","repositories_listed":5,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":2,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":1,"phrase":"3 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; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/weakly-supervised-deep-detection-networks#ran","syntology_url":"https://syntology.ai/paper/1511.02853","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1511.02853"}},"official":{"repos":["hbilen/WSDDN"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}}],"record_sha256":"7c6e00620a019244f0fbd8c575f8b826b4622f56834efd07a354bf94d9e0de74","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}