{"id":"https://openalex.org/W4389104979","doi":"https://doi.org/10.1109/tnnls.2023.3331778","title":"Foregroundness-Aware Task Disentanglement and Self-Paced Curriculum Learning for Domain Adaptive Object Detection","display_name":"Foregroundness-Aware Task Disentanglement and Self-Paced Curriculum Learning for Domain Adaptive Object Detection","publication_year":2023,"publication_date":"2023-11-28","ids":{"openalex":"https://openalex.org/W4389104979","doi":"https://doi.org/10.1109/tnnls.2023.3331778","pmid":"https://pubmed.ncbi.nlm.nih.gov/38015686"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3331778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3331778","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5005060223","display_name":"Yabo Liu","orcid":"https://orcid.org/0000-0001-6647-9817"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yabo Liu","raw_affiliation_strings":["Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-6647-9817","affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045867920","display_name":"Jinghua Wang","orcid":"https://orcid.org/0000-0002-2629-1198"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghua Wang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2629-1198","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680501","display_name":"Linhui Xiao","orcid":"https://orcid.org/0000-0003-2592-5264"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linhui Xiao","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2592-5264","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063403522","display_name":"Chengliang Liu","orcid":"https://orcid.org/0000-0001-5983-8981"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengliang Liu","raw_affiliation_strings":["Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-5983-8981","affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102002641","display_name":"Zhihao Wu","orcid":"https://orcid.org/0000-0002-2704-0614"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihao Wu","raw_affiliation_strings":["Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2704-0614","affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100359961","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0003-0530-2123"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xu","raw_affiliation_strings":["Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-0530-2123","affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5005060223"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":2.8536,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.92640384,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"36","issue":"1","first_page":"369","last_page":"380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.8842999935150146,"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"}},"topics":[{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.8842999935150146,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.8798999786376953,"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":0.8529000282287598,"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/task","display_name":"Task (project management)","score":0.7467483282089233},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6899257302284241},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6075883507728577},{"id":"https://openalex.org/keywords/curriculum","display_name":"Curriculum","score":0.6011088490486145},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.599836528301239},{"id":"https://openalex.org/keywords/learning-object","display_name":"Learning object","score":0.5850231051445007},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4142257571220398},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3044185936450958},{"id":"https://openalex.org/keywords/pedagogy","display_name":"Pedagogy","score":0.11317721009254456},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08018466830253601},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07758936285972595}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7467483282089233},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6899257302284241},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6075883507728577},{"id":"https://openalex.org/C47177190","wikidata":"https://www.wikidata.org/wiki/Q207137","display_name":"Curriculum","level":2,"score":0.6011088490486145},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.599836528301239},{"id":"https://openalex.org/C2779542340","wikidata":"https://www.wikidata.org/wiki/Q1062461","display_name":"Learning object","level":2,"score":0.5850231051445007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4142257571220398},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3044185936450958},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.11317721009254456},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08018466830253601},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07758936285972595},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3331778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3331778","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:38015686","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38015686","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8299999833106995,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G6689498656","display_name":null,"funder_award_id":"62172285","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8797855491","display_name":null,"funder_award_id":"2023A1515012110","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W93016980","https://openalex.org/W639708223","https://openalex.org/W1882958252","https://openalex.org/W1985511977","https://openalex.org/W2031489346","https://openalex.org/W2108598243","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2296073425","https://openalex.org/W2340897893","https://openalex.org/W2345837149","https://openalex.org/W2528287124","https://openalex.org/W2748021867","https://openalex.org/W2896888563","https://openalex.org/W2903049906","https://openalex.org/W2955889502","https://openalex.org/W2962823940","https://openalex.org/W2963037989","https://openalex.org/W2964115968","https://openalex.org/W2968634921","https://openalex.org/W2969583814","https://openalex.org/W2981705647","https://openalex.org/W2990069979","https://openalex.org/W3034779842","https://openalex.org/W3035175896","https://openalex.org/W3035673985","https://openalex.org/W3106723659","https://openalex.org/W3107090469","https://openalex.org/W3107610277","https://openalex.org/W3109679703","https://openalex.org/W3110011650","https://openalex.org/W3124817676","https://openalex.org/W3127131334","https://openalex.org/W3166409449","https://openalex.org/W3171162797","https://openalex.org/W3171270868","https://openalex.org/W3177117566","https://openalex.org/W3177345794","https://openalex.org/W3194643899","https://openalex.org/W3203554015","https://openalex.org/W3204359931","https://openalex.org/W4224920452","https://openalex.org/W4281692368","https://openalex.org/W4282913876","https://openalex.org/W4288064731","https://openalex.org/W4312624173","https://openalex.org/W4312935973","https://openalex.org/W4313160378","https://openalex.org/W4313160574","https://openalex.org/W4313291231","https://openalex.org/W4381253801","https://openalex.org/W4386066484","https://openalex.org/W6637373629","https://openalex.org/W6679390333","https://openalex.org/W6770444568","https://openalex.org/W6776778719","https://openalex.org/W6789505266","https://openalex.org/W6801795037","https://openalex.org/W6802503788","https://openalex.org/W6838694358"],"related_works":["https://openalex.org/W2348562106","https://openalex.org/W2370820329","https://openalex.org/W2370554813","https://openalex.org/W4362576712","https://openalex.org/W2387560707","https://openalex.org/W2363525455","https://openalex.org/W4312355418","https://openalex.org/W2732813147","https://openalex.org/W2143460112","https://openalex.org/W2042906257"],"abstract_inverted_index":{"Unsupervised":[0],"domain":[1],"adaptive":[2,32],"object":[3,182],"detection":[4,44,101,183],"(UDA-OD)":[5],"is":[6],"a":[7,110,149],"challenging":[8],"problem":[9],"since":[10],"it":[11,47,117],"needs":[12],"to":[13,70,118,133,154],"locate":[14],"and":[15,65,87,115,130,157],"recognize":[16],"objects":[17],"while":[18,98],"maintaining":[19,99],"the":[20,31,35,43,49,72,95,100,120,123,135,139,160,163,167],"generalization":[21,50],"ability":[22],"across":[23,145],"domains.":[24],"Most":[25],"existing":[26],"UDA-OD":[27,73],"methods":[28],"directly":[29],"integrate":[30],"modules":[33],"into":[34,75],"detectors.":[36],"This":[37],"integration":[38],"procedure":[39],"can":[40,93],"significantly":[41],"sacrifice":[42],"performances,":[45],"though":[46],"enhances":[48],"ability.":[51],"To":[52],"solve":[53],"this":[54],"problem,":[55],"we":[56,108,147],"propose":[57,109],"an":[58],"effective":[59,142],"framework,":[60],"named":[61],"foregroundness-aware":[62],"task":[63,74],"disentanglement":[64,92],"self-paced":[66,150],"curriculum":[67,151],"adaptation":[68],"(FA-TDCA),":[69],"disentangle":[71],"four":[76,180],"independent":[77],"subtasks":[78],"of":[79,103,122,138,162],"source":[80],"detector":[81,89],"pretraining,":[82],"classification":[83,131],"adaptation,":[84,86],"location":[85,124],"target":[88,168],"training.":[90],"The":[91],"transfer":[94,144],"knowledge":[96,143],"effectively":[97],"performance":[102],"our":[104,174],"model.":[105],"In":[106],"addition,":[107],"new":[111],"metric,":[112],"i.e.,":[113],"foregroundness,":[114],"use":[116,127],"evaluate":[119],"confidence":[121,132],"result.":[125],"We":[126],"both":[128],"foregroundness":[129],"assess":[134],"label":[136],"quality":[137,161],"proposals.":[140],"For":[141],"domains,":[146],"utilize":[148],"learning":[152],"paradigm":[153],"train":[155],"adaptors":[156],"gradually":[158],"improve":[159],"pseudolabels":[164],"associated":[165],"with":[166],"samples.":[169],"Experiment":[170],"results":[171,178],"indicate":[172],"that":[173],"method":[175],"achieves":[176],"state-of-the-art":[177],"on":[179],"cross-domain":[181],"tasks.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":4}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}