{"id":"https://openalex.org/W4415707987","doi":"https://doi.org/10.1109/icme59968.2025.11209030","title":"Weakly Supervised Object Detection Framework based on Classification-Localization Consistency","display_name":"Weakly Supervised Object Detection Framework based on Classification-Localization Consistency","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415707987","doi":"https://doi.org/10.1109/icme59968.2025.11209030"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021153677","display_name":"Yihuan Zhu","orcid":"https://orcid.org/0000-0002-5328-7151"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihuan Zhu","raw_affiliation_strings":["Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015448716","display_name":"Simiao Wang","orcid":"https://orcid.org/0009-0001-4210-7960"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Simiao Wang","raw_affiliation_strings":["Dalian Maritime University,School of Artificial Intelligence,Dalian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Maritime University,School of Artificial Intelligence,Dalian,China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052104124","display_name":"Mingyu Lu","orcid":"https://orcid.org/0000-0002-8663-9870"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyu Lu","raw_affiliation_strings":["Dalian Maritime University,School of Artificial Intelligence,Dalian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Maritime University,School of Artificial Intelligence,Dalian,China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073588743","display_name":"Zhengxing Sun","orcid":"https://orcid.org/0000-0001-7137-6169"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengxing Sun","raw_affiliation_strings":["Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34186922,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9455000162124634,"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":0.9455000162124634,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.006099999882280827,"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":0.005900000222027302,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.7983999848365784},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7394000291824341},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6674000024795532},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5551000237464905},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5462999939918518},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5074999928474426},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.4708999991416931}],"concepts":[{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.7983999848365784},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7394000291824341},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6996999979019165},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6674000024795532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6274999976158142},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5551000237464905},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5462999939918518},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5074999928474426},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.4708999991416931},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4629000127315521},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45080000162124634},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.44359999895095825},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4237000048160553},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.33480000495910645},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2906999886035919},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.26600000262260437}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2037227137","https://openalex.org/W2088049833","https://openalex.org/W2110119381","https://openalex.org/W2117539524","https://openalex.org/W2295107390","https://openalex.org/W2559348937","https://openalex.org/W2604260814","https://openalex.org/W2798269247","https://openalex.org/W2798748179","https://openalex.org/W2813911573","https://openalex.org/W2895236117","https://openalex.org/W2962858109","https://openalex.org/W2963603913","https://openalex.org/W2963952323","https://openalex.org/W2990400263","https://openalex.org/W2997125355","https://openalex.org/W3034315787","https://openalex.org/W3034329658","https://openalex.org/W3035253074","https://openalex.org/W3035725370","https://openalex.org/W3117854388","https://openalex.org/W3168137650","https://openalex.org/W3175704361","https://openalex.org/W3190805089","https://openalex.org/W3194159212","https://openalex.org/W3194733604","https://openalex.org/W3194982364","https://openalex.org/W4280499309","https://openalex.org/W4282913876","https://openalex.org/W4299583570","https://openalex.org/W4312208488","https://openalex.org/W4312574296","https://openalex.org/W4312678295","https://openalex.org/W4313291231","https://openalex.org/W4320009729","https://openalex.org/W4386524100","https://openalex.org/W4391569036","https://openalex.org/W4393855552","https://openalex.org/W4394597889","https://openalex.org/W4398774772","https://openalex.org/W4402979728","https://openalex.org/W4403681817"],"related_works":[],"abstract_inverted_index":{"The":[0],"inconsistency":[1],"between":[2,41,52,92],"classification":[3,81,93],"and":[4,49,54,94,132],"localization":[5],"brings":[6],"a":[7,37,59,99],"challenge":[8],"in":[9,28],"object":[10,14,31,63],"detection.":[11],"Fully":[12],"supervised":[13,30,62],"detection":[15,32,64],"(FSOD)":[16],"benefits":[17],"from":[18],"bounding-box":[19],"regression":[20,112],"networks":[21],"to":[22,80,82,87,104],"alleviate":[23],"that,":[24],"which":[25,76],"is":[26,36],"absent":[27],"weakly":[29,61],"(WSOD).":[33],"Consequently,":[34],"there":[35],"significant":[38],"performance":[39,48],"gap":[40],"the":[42,47,109,116],"two":[43],"paradigms.":[44],"To":[45],"bridge":[46],"technical":[50],"gaps":[51],"WSOD":[53],"FSOD,":[55],"this":[56],"paper":[57],"proposes":[58],"novel":[60],"framework":[65],"based":[66],"on":[67,125],"classification-localization":[68,119],"consistency.":[69],"We":[70],"propose":[71,98],"Max":[72],"Score":[73],"Pooling":[74],"(MSP),":[75],"compels":[77],"features":[78,85],"relevant":[79,86],"align":[83],"with":[84],"localization,":[88],"thereby":[89],"achieving":[90],"consistency":[91],"localization.":[95],"Additionally,":[96],"we":[97],"Proposal":[100],"Fusion":[101],"Mechanism":[102],"(PFM)":[103],"generate":[105],"pseudo-supervision":[106],"for":[107],"training":[108],"bounding":[110],"box":[111],"network,":[113],"further":[114],"reducing":[115],"impact":[117],"of":[118],"inconsistency.":[120],"Extensive":[121],"experiments":[122],"are":[123],"conducted":[124],"PASCAL":[126,129],"VOC":[127,130],"2007,":[128],"2012":[131],"MS":[133],"COCO":[134],"2017":[135],"datasets,":[136],"demonstrating":[137],"our":[138],"framework\u2019s":[139],"superior":[140],"performance.":[141]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-30T00:00:00"}
