{"id":"https://openalex.org/W4407051600","doi":"https://doi.org/10.1109/lsp.2025.3537398","title":"OSA-PD: Open-Set Active Learning Exploiting Predictive Discrepancy","display_name":"OSA-PD: Open-Set Active Learning Exploiting Predictive Discrepancy","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407051600","doi":"https://doi.org/10.1109/lsp.2025.3537398"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3537398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3537398","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"},"type":"article","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":null,"display_name":"Zhiming Chen","orcid":"https://orcid.org/0009-0007-6100-3845"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiming Chen","raw_affiliation_strings":["School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0007-6100-3845","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101902730","display_name":"Peng Han","orcid":"https://orcid.org/0000-0002-2945-7907"},"institutions":[{"id":"https://openalex.org/I4210107284","display_name":"Chongqing Academy of Science and Technology","ror":"https://ror.org/01gnzp994","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210107284"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Han","raw_affiliation_strings":["Chongqing Academy of Science and Technology, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Academy of Science and Technology, Chongqing, China","institution_ids":["https://openalex.org/I4210107284"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fei Jiang","orcid":"https://orcid.org/0009-0001-9495-9903"},"institutions":[{"id":"https://openalex.org/I4210107284","display_name":"Chongqing Academy of Science and Technology","ror":"https://ror.org/01gnzp994","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210107284"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Jiang","raw_affiliation_strings":["Chongqing Academy of Science and Technology, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0001-9495-9903","affiliations":[{"raw_affiliation_string":"Chongqing Academy of Science and Technology, Chongqing, China","institution_ids":["https://openalex.org/I4210107284"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018050969","display_name":"Jiaxin Si","orcid":"https://orcid.org/0000-0001-9677-8682"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxin Si","raw_affiliation_strings":["Chongqing Qulian Digital Technology Company Ltd, Chongqing, China","Chongqing Qulian Digital Technology Co., Ltd, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-9677-8682","affiliations":[{"raw_affiliation_string":"Chongqing Qulian Digital Technology Company Ltd, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]},{"raw_affiliation_string":"Chongqing Qulian Digital Technology Co., Ltd, Chongqing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068924180","display_name":"Lili Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107284","display_name":"Chongqing Academy of Science and Technology","ror":"https://ror.org/01gnzp994","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210107284"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Xiong","raw_affiliation_strings":["Chongqing Academy of Science and Technology, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Academy of Science and Technology, Chongqing, China","institution_ids":["https://openalex.org/I4210107284"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.396,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8214739,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"32","issue":null,"first_page":"851","last_page":"855"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.8687000274658203,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.8687000274658203,"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/T13050","display_name":"Oil and Gas Production Techniques","score":0.8644999861717224,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.7710999846458435,"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/computer-science","display_name":"Computer science","score":0.6604733467102051},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47993022203445435},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.46685487031936646},{"id":"https://openalex.org/keywords/open-set","display_name":"Open set","score":0.45636433362960815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37982869148254395},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35371047258377075},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1548144519329071}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6604733467102051},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47993022203445435},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.46685487031936646},{"id":"https://openalex.org/C42357961","wikidata":"https://www.wikidata.org/wiki/Q213363","display_name":"Open set","level":2,"score":0.45636433362960815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37982869148254395},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35371047258377075},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1548144519329071},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2025.3537398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3537398","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7592032812","display_name":null,"funder_award_id":"62207014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1982039810","https://openalex.org/W2901114541","https://openalex.org/W2963149653","https://openalex.org/W3035166710","https://openalex.org/W3202092515","https://openalex.org/W3205626500","https://openalex.org/W4226426325","https://openalex.org/W4230649179","https://openalex.org/W4312595781","https://openalex.org/W4312677475","https://openalex.org/W4316660800","https://openalex.org/W4320005661","https://openalex.org/W4388639403","https://openalex.org/W4393159168","https://openalex.org/W6638523607","https://openalex.org/W6677757056","https://openalex.org/W6734269522","https://openalex.org/W6747231328","https://openalex.org/W6763607942","https://openalex.org/W6787972765","https://openalex.org/W6846744052"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Active":[0],"learning":[1,49,130],"with":[2,57,67,86,92,118,127],"closed-set":[3],"annotation":[4,41],"has":[5],"achieved":[6],"significant":[7],"success.":[8],"However,":[9],"real-world":[10],"data":[11,31,61,112],"often":[12,22,66],"comprises":[13],"numerous":[14],"unknown":[15,29],"classes":[16],"irrelevant":[17],"to":[18,27],"the":[19,24,39,104,119],"task":[20],"which":[21],"confuses":[23],"query":[25],"strategies":[26],"select":[28,109],"class":[30,111],"for":[32,62],"annotation.":[33],"To":[34],"address":[35],"such":[36],"challenge":[37],"in":[38,125],"open-set":[40,47],"(OSA),":[42],"we":[43],"propose":[44],"a":[45],"novel":[46],"active":[48,129],"framework":[50],"based":[51,74],"on":[52,75,99],"predictive":[53,69,87,94],"discrepancy,":[54,89],"named":[55],"OSA-PD,":[56],"consideration":[58],"that":[59],"valuable":[60],"model":[63],"improvement":[64],"is":[65],"high":[68],"discrepancy.":[70,96],"Specifically,":[71],"two":[72],"algorithms":[73],"different":[76],"discrepancy":[77],"measurements":[78],"are":[79],"presented":[80],"under":[81],"OSA-PD":[82,106],"framework,":[83],"i.e.,":[84],"OSA-PRD":[85],"results":[88,98],"and":[90,101,113],"OSA-PDD":[91],"decoupled":[93],"distribution":[95],"Experimental":[97],"CIFAR100":[100],"TinyImageNet":[102],"demonstrate":[103],"proposed":[105],"can":[107],"effectively":[108],"known":[110],"achieve":[114],"higher":[115],"classification":[116],"accuracy":[117],"same":[120],"amount":[121],"of":[122],"annotated":[123],"sample":[124],"comparison":[126],"existing":[128],"algorithms.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}