{"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-localization/papers/ran/1","list_of":"/task/weakly-supervised-object-localization","task":"Weakly-Supervised Object Localization","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":[1,16],"of":16,"counts":{"archive_papers_tagged":140,"with_a_code_link":82,"where_syntology_ran_a_sample":16,"not_listed_spam_title":0,"listed":140,"listed_where_code_ran":16,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":11,"every_run_a_failure_of_syntologys_instrument":5,"listed_with_a_run_with_no_instrument_failure":11,"listed_every_run_a_failure_of_syntologys_instrument":5,"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-localization/papers/ran/1","prev":null,"next":null,"papers":[{"url":"/paper/generative-prompt-model-for-weakly-supervised","slug":"generative-prompt-model-for-weakly-supervised","title":"Generative Prompt Model for Weakly Supervised Object Localization","date":"2023-07-19","arxiv_id":"2307.09756","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":1,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 1 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) · 0 unverified; the one sample that ran constructed an object rather than computing a result","sample_list":"/paper/generative-prompt-model-for-weakly-supervised#ran","syntology_url":"https://syntology.ai/paper/2307.09756","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2307.09756"}},"official":{"repos":["callsys/genpromp"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/spatial-aware-token-for-weakly-supervised","slug":"spatial-aware-token-for-weakly-supervised","title":"Spatial-Aware Token for Weakly Supervised Object Localization","date":"2023-03-18","arxiv_id":"2303.10438","repositories_listed":1,"syntology":{"n":6,"n_ran":5,"n_constructed":4,"n_ran_checked":5,"n_instrument":0,"n_unverified":1,"n_honours":1,"n_violates":0,"n_no_contract":4,"n_pointer_only":6,"phrase":"5 ran (of which 4 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/spatial-aware-token-for-weakly-supervised#ran","syntology_url":"https://syntology.ai/paper/2303.10438","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.10438"}},"official":{"repos":["wpy1999/sat"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":4,"n_ran_no_instrument_failure":5,"n_unverified":1,"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/weakly-supervised-object-localization-via","slug":"weakly-supervised-object-localization-via","title":"Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration","date":"2022-07-21","arxiv_id":"2207.10447","repositories_listed":2,"syntology":{"n":10,"n_ran":7,"n_constructed":3,"n_ran_checked":4,"n_instrument":3,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":0,"phrase":"7 ran (of which 3 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/weakly-supervised-object-localization-via#ran","syntology_url":"https://syntology.ai/paper/2207.10447","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2207.10447"}},"official":{"repos":["164140757/scm"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":3,"n_ran_no_instrument_failure":4,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/bagging-regional-classification-activation","slug":"bagging-regional-classification-activation","title":"Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization","date":"2022-07-16","arxiv_id":"2207.07818","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/bagging-regional-classification-activation#ran","syntology_url":"https://syntology.ai/paper/2207.07818","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2207.07818"}},"official":{"repos":["zh460045050/bagcams"],"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/hint-hierarchical-neuron-concept-explainer","slug":"hint-hierarchical-neuron-concept-explainer","title":"HINT: Hierarchical Neuron Concept Explainer","date":"2022-03-27","arxiv_id":"2203.14196","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":0,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"2 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; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/hint-hierarchical-neuron-concept-explainer#ran","syntology_url":"https://syntology.ai/paper/2203.14196","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.14196"}},"official":{"repos":["antonotnawang/hint"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/contrastive-learning-of-class-agnostic","slug":"contrastive-learning-of-class-agnostic","title":"Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation","date":"2022-03-25","arxiv_id":"2203.13505","repositories_listed":2,"syntology":{"n":2,"n_ran":2,"n_constructed":1,"n_ran_checked":1,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"2 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/contrastive-learning-of-class-agnostic#ran","syntology_url":"https://syntology.ai/paper/2203.13505","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.13505"}},"official":{"repos":["cvi-szu/ccam"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":1,"n_ran_no_instrument_failure":1,"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/tdan-top-down-attention-networks-for-enhanced","slug":"tdan-top-down-attention-networks-for-enhanced","title":"TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNs","date":"2021-11-26","arxiv_id":"2111.13470","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":0,"n_instrument":2,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"2 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; 2 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/tdan-top-down-attention-networks-for-enhanced#ran","syntology_url":"https://syntology.ai/paper/2111.13470","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2111.13470"}},"official":{"repos":["shantanuj/tdam_top_down_attention_module"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/keep-calm-and-improve-visual-feature","slug":"keep-calm-and-improve-visual-feature","title":"Keep CALM and Improve Visual Feature Attribution","date":"2021-06-15","arxiv_id":"2106.07861","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/keep-calm-and-improve-visual-feature#ran","syntology_url":"https://syntology.ai/paper/2106.07861","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2106.07861"}},"official":{"repos":["naver-ai/calm"],"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/evaluating-weakly-supervised-object","slug":"evaluating-weakly-supervised-object","title":"Evaluating Weakly Supervised Object Localization Methods Right","date":"2020-01-21","arxiv_id":"2001.07437","repositories_listed":2,"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":1,"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/evaluating-weakly-supervised-object#ran","syntology_url":"https://syntology.ai/paper/2001.07437","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2001.07437"}},"official":{"repos":["clovaai/wsolevaluation"],"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":["listed","unlocated"]}}},{"url":"/paper/deep-weakly-supervised-learning-methods-for","slug":"deep-weakly-supervised-learning-methods-for","title":"Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey","date":"2019-09-08","arxiv_id":"1909.03354","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":2,"n_violates":1,"n_no_contract":0,"n_pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 2 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/deep-weakly-supervised-learning-methods-for#ran","syntology_url":"https://syntology.ai/paper/1909.03354","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1909.03354"}},"official":{"repos":["jeromerony/survey_wsl_histology"],"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":["official"]}}},{"url":"/paper/attention-based-dropout-layer-for-weakly-1","slug":"attention-based-dropout-layer-for-weakly-1","title":"Attention-based Dropout Layer for Weakly Supervised Object Localization","date":"2019-08-27","arxiv_id":"1908.10028","repositories_listed":1,"syntology":{"n":6,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":2,"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) · 2 unverified","sample_list":"/paper/attention-based-dropout-layer-for-weakly-1#ran","syntology_url":"https://syntology.ai/paper/1908.10028","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1908.10028"}},"official":null}},{"url":"/paper/adversarial-complementary-learning-for-weakly","slug":"adversarial-complementary-learning-for-weakly","title":"Adversarial Complementary Learning for Weakly Supervised Object Localization","date":"2018-04-19","arxiv_id":"1804.06962","repositories_listed":2,"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/adversarial-complementary-learning-for-weakly#ran","syntology_url":"https://syntology.ai/paper/1804.06962","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1804.06962"}},"official":null}},{"url":"/paper/progressive-representation-adaptation-for","slug":"progressive-representation-adaptation-for","title":"Progressive Representation Adaptation for Weakly Supervised Object Localization","date":"2017-10-12","arxiv_id":"1710.04647","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":1,"n_no_contract":0,"n_pointer_only":1,"phrase":"1 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; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/progressive-representation-adaptation-for#ran","syntology_url":"https://syntology.ai/paper/1710.04647","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1710.04647"}},"official":{"repos":["jbhuang0604/WSL"],"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/learning-deep-features-for-discriminative","slug":"learning-deep-features-for-discriminative","title":"Learning Deep Features for Discriminative Localization","date":"2015-12-14","arxiv_id":"1512.04150","repositories_listed":35,"syntology":{"n":17,"n_ran":4,"n_constructed":0,"n_ran_checked":2,"n_instrument":2,"n_unverified":13,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":3,"phrase":"4 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; 2 where Syntology's instrument failed) · 13 unverified","sample_list":"/paper/learning-deep-features-for-discriminative#ran","syntology_url":"https://syntology.ai/paper/1512.04150","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1512.04150"}},"official":{"repos":["zhoubolei/CAM"],"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":"89b3faee7aa0210a6915f8fcfe2df6e2897cd138cd2b2f2c77a75b5d840e71a4","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}