{"id":"https://openalex.org/W2963676873","doi":"https://doi.org/10.24963/ijcai.2018/135","title":"Collaborative Learning for Weakly Supervised Object Detection","display_name":"Collaborative Learning for Weakly Supervised Object Detection","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2963676873","doi":"https://doi.org/10.24963/ijcai.2018/135","mag":"2963676873"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2018/135","doi":"https://doi.org/10.24963/ijcai.2018/135","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/135","pdf_url":"https://www.ijcai.org/proceedings/2018/0135.pdf","source":{"id":"https://openalex.org/S4306419999","display_name":"International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2018/0135.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jiajie Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajie Wang","raw_affiliation_strings":["Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102922412","display_name":"Jiangchao Yao","orcid":"https://orcid.org/0000-0001-6115-5194","observed_orcids":["https://orcid.org/0000-0001-6115-5194"]},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangchao Yao","raw_affiliation_strings":["Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342828","display_name":"Ya Zhang","orcid":"https://orcid.org/0000-0002-5390-9053","observed_orcids":["https://orcid.org/0000-0002-5390-9053"]},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ya Zhang","raw_affiliation_strings":["Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100421978","display_name":"Rui Zhang","orcid":"https://orcid.org/0000-0001-9418-0863","observed_orcids":["https://orcid.org/0000-0001-9418-0863","https://orcid.org/0009-0006-3608-3110","https://orcid.org/0009-0008-8014-7665"]},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Zhang","raw_affiliation_strings":["Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.8311,"has_fulltext":true,"cited_by_count":47,"citation_normalized_percentile":{"value":0.92114173,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"971","last_page":"977"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.005799999926239252,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.003100000089034438,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/weakly-supervised-object-detection","display_name":"weakly supervised object detection","score":0.9990000128746033},{"id":"https://openalex.org/keywords/collaborative-learning","display_name":"cooperative learning","score":0.9670000076293945},{"id":"https://openalex.org/keywords/image-level-labels","display_name":"image-level labels","score":0.7960000038146973},{"id":"https://openalex.org/keywords/feature-sharing","display_name":"feature sharing","score":0.8629999756813049},{"id":"https://openalex.org/keywords/faster-r-cnn","display_name":"Faster R-CNN","score":0.9629999995231628},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"multi-task learning","score":0.4560000002384186}],"concepts":[{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.8813031911849976},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7465008497238159},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6688084602355957},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6642179489135742},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6641728281974792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6313222050666809},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5858179330825806},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5775312185287476},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5160834193229675},{"id":"https://openalex.org/C37279795","wikidata":"https://www.wikidata.org/wiki/Q2492305","display_name":"Consistency model","level":3,"score":0.44343215227127075},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.4362073540687561},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41934001445770264},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.32360154390335083},{"id":"https://openalex.org/C93361087","wikidata":"https://www.wikidata.org/wiki/Q4426698","display_name":"Data consistency","level":2,"score":0.17672085762023926},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14597007632255554},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.07398596405982971},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.24963/ijcai.2018/135","doi":"https://doi.org/10.24963/ijcai.2018/135","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/135","pdf_url":"https://www.ijcai.org/proceedings/2018/0135.pdf","source":{"id":"https://openalex.org/S4306419999","display_name":"International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1802.03531","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1802.03531","pdf_url":"https://arxiv.org/pdf/1802.03531","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1802.03531","doi":"https://doi.org/10.48550/arxiv.1802.03531","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1802.03531","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2018/135","doi":"https://doi.org/10.24963/ijcai.2018/135","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/135","pdf_url":"https://www.ijcai.org/proceedings/2018/0135.pdf","source":{"id":"https://openalex.org/S4306419999","display_name":"International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2954927715","display_name":null,"funder_award_id":"6152106 2","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3554449569","display_name":null,"funder_award_id":"2015AA015801","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G3741685199","display_name":null,"funder_award_id":"18DZ2270700","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7814127966","display_name":null,"funder_award_id":"18DZ2270700","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963676873.pdf","grobid_xml":"https://content.openalex.org/works/W2963676873.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W318792885","https://openalex.org/W639708223","https://openalex.org/W1544092585","https://openalex.org/W1686810756","https://openalex.org/W1934621328","https://openalex.org/W1938425378","https://openalex.org/W2031489346","https://openalex.org/W2048679005","https://openalex.org/W2061629163","https://openalex.org/W2088049833","https://openalex.org/W2109255472","https://openalex.org/W2117539524","https://openalex.org/W2133324800","https://openalex.org/W2166010828","https://openalex.org/W2179352600","https://openalex.org/W2441255125","https://openalex.org/W2519284461","https://openalex.org/W2570343428","https://openalex.org/W2592384071","https://openalex.org/W2604260814","https://openalex.org/W2606831796","https://openalex.org/W2765569127","https://openalex.org/W2951433694","https://openalex.org/W2951548327","https://openalex.org/W2963603913","https://openalex.org/W6791858558","https://openalex.org/W6803771590","https://openalex.org/W6863631769","https://openalex.org/W6864014924"],"related_works":["https://openalex.org/W2994041372","https://openalex.org/W4320802321","https://openalex.org/W4312866875","https://openalex.org/W2889081631","https://openalex.org/W4411123513","https://openalex.org/W2505954637","https://openalex.org/W3163980625","https://openalex.org/W3170979227","https://openalex.org/W4381744299","https://openalex.org/W2798269247"],"abstract_inverted_index":{"Weakly":[0,99],"supervised":[1,23,48,60,65,84,92],"object":[2,77],"detection":[3],"has":[4],"recently":[5],"received":[6],"much":[7],"attention,":[8],"since":[9],"it":[10],"only":[11],"requires":[12],"image-level":[13],"labels":[14,19],"instead":[15],"of":[16,36,126,175],"the":[17,26,34,113,129,136,140,143,155,173,176],"bounding-box":[18],"consumed":[20],"in":[21,28],"strongly":[22,64,91],"learning.":[24],"Nevertheless,":[25],"save":[27],"labeling":[29],"expense":[30],"is":[31,106,121],"usually":[32],"at":[33,158],"cost":[35],"model":[37,156],"accuracy.In":[38],"this":[39,54],"paper,":[40],"we":[41,95],"propose":[42,96],"a":[43,58,63,116],"simple":[44],"but":[45],"effective":[46],"weakly":[47,59,83],"collaborative":[49],"learning":[50],"framework":[51],"to":[52,111,123,148,152],"resolve":[53],"problem,":[55],"which":[56],"trains":[57],"learner":[61,66],"and":[62,73,87,167],"jointly":[67],"by":[68],"enforcing":[69],"partial":[70],"feature":[71],"sharing":[72],"prediction":[74,118],"consistency.":[75],"For":[76],"detection,":[78],"taking":[79],"WSDDN-like":[80],"architecture":[81,89],"as":[82,90,132,134],"detector":[85,93],"sub-network":[86],"Faster-RCNN-like":[88,114,137],"sub-network,":[94,115],"an":[97],"end-to-end":[98],"Supervised":[100],"Collaborative":[101],"Detection":[102],"Network.":[103],"As":[104],"there":[105],"no":[107],"strong":[108],"supervision":[109],"available":[110],"train":[112],"new":[117],"consistency":[119,125,157],"loss":[120],"defined":[122],"enforce":[124],"predictions":[127],"between":[128],"two":[130,144],"sub-networks":[131],"well":[133],"within":[135],"sub-networks.":[138],"At":[139],"same":[141],"time,":[142],"detectors":[145],"are":[146],"designed":[147],"partially":[149],"share":[150],"features":[151],"further":[153],"guarantee":[154],"perceptual":[159],"level.":[160],"Extensive":[161],"experiments":[162],"on":[163],"PASCAL":[164],"VOC":[165],"2007":[166],"2012":[168],"data":[169],"sets":[170],"have":[171],"demonstrated":[172],"effectiveness":[174],"proposed":[177],"framework.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-07-30T00:00:00"}