{"id":"https://openalex.org/W4408351947","doi":"https://doi.org/10.1109/icassp49660.2025.10889578","title":"Diversity Matters: Co-training for Semi-Supervised Change Detection in Remote Sensing Images","display_name":"Diversity Matters: Co-training for Semi-Supervised Change Detection in Remote Sensing Images","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408351947","doi":"https://doi.org/10.1109/icassp49660.2025.10889578"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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":"https://openalex.org/A5017703904","display_name":"Zan Mao","orcid":"https://orcid.org/0000-0003-3804-524X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210108629","display_name":"Computer Network Information Center","ror":"https://ror.org/01s0wyf50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zan Mao","raw_affiliation_strings":["Chinese Academy of Sciences,Computer Network Information Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Computer Network Information Center","institution_ids":["https://openalex.org/I4210108629","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076530035","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-2050-2628"},"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":"Xin Li","raw_affiliation_strings":["PengCheng Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PengCheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090964624","display_name":"Ze Luo","orcid":"https://orcid.org/0000-0002-6261-6279"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210108629","display_name":"Computer Network Information Center","ror":"https://ror.org/01s0wyf50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze Luo","raw_affiliation_strings":["Chinese Academy of Sciences,Computer Network Information Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Computer Network Information Center","institution_ids":["https://openalex.org/I4210108629","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043639914","display_name":"Yingchao Piao","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210108629","display_name":"Computer Network Information Center","ror":"https://ror.org/01s0wyf50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingchao Piao","raw_affiliation_strings":["Chinese Academy of Sciences,Computer Network Information Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Computer Network Information Center","institution_ids":["https://openalex.org/I4210108629","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"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":0.05582003,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.24420000612735748,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.24420000612735748,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.6482412815093994},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6428282260894775},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6230702996253967},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5303623676300049},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.430332750082016},{"id":"https://openalex.org/keywords/co-training","display_name":"Co-training","score":0.4117674231529236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4023604691028595},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35458672046661377},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19028958678245544},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.09738418459892273},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.09535819292068481}],"concepts":[{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.6482412815093994},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6428282260894775},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6230702996253967},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5303623676300049},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.430332750082016},{"id":"https://openalex.org/C2776959682","wikidata":"https://www.wikidata.org/wiki/Q17005296","display_name":"Co-training","level":3,"score":0.4117674231529236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4023604691028595},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35458672046661377},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19028958678245544},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.09738418459892273},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.09535819292068481},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2036798369","https://openalex.org/W2891248708","https://openalex.org/W2908320224","https://openalex.org/W3027225766","https://openalex.org/W3048064159","https://openalex.org/W3120467244","https://openalex.org/W3130754787","https://openalex.org/W3171581326","https://openalex.org/W3180045188","https://openalex.org/W4226246368","https://openalex.org/W4282553729","https://openalex.org/W4307701816","https://openalex.org/W4312248619","https://openalex.org/W4312310512","https://openalex.org/W4312549298","https://openalex.org/W4312893921","https://openalex.org/W4321488161","https://openalex.org/W4375868908","https://openalex.org/W4377079808","https://openalex.org/W4386065584","https://openalex.org/W4386075981","https://openalex.org/W4386634630","https://openalex.org/W4390872331","https://openalex.org/W4392910515","https://openalex.org/W6773005947","https://openalex.org/W6809890315"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W230091440","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2233261550","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2098708659","https://openalex.org/W2496736947","https://openalex.org/W3023393241"],"abstract_inverted_index":{"General":[0],"change":[1],"detection":[2],"(CD)":[3],"methods":[4,30],"require":[5],"extensive":[6],"annotated":[7],"data":[8],"to":[9,36,48,65,72,84,101,106,135],"ensure":[10],"effective":[11],"performance,":[12],"yet":[13],"the":[14,38,86,116,125,137,144,148,152,155,162,169,175],"annotation":[15],"of":[16,40,88,124,139,154],"remote":[17],"sensing":[18],"(RS)":[19],"bi-temporal":[20],"images":[21],"is":[22],"significantly":[23],"time-consuming":[24],"and":[25,164],"labor-intensive.":[26],"While":[27],"numerous":[28],"RS":[29],"have":[31],"employed":[32],"semi-supervised":[33],"(SS)":[34],"learning":[35,149],"tackle":[37],"issue":[39],"insufficient":[41],"labeled":[42],"data,":[43],"they":[44],"encounter":[45],"challenges":[46],"related":[47],"confirmation":[49,145],"bias.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54,77,96,129],"propose":[55],"a":[56,80,91,98,131],"novel":[57],"two-branch":[58],"co-training":[59,140],"framework":[60],"for":[61,90],"SSCD,":[62],"which":[63,142],"aims":[64],"capture":[66],"diversity":[67,87,138],"predictions":[68],"from":[69,151],"heterogeneous":[70],"representations":[71],"boost":[73],"SSCD":[74],"performance.":[75],"Specifically,":[76],"first":[78],"adopt":[79],"change-aware":[81],"cutmix":[82],"strategy":[83],"enlarge":[85],"input":[89],"more":[92],"diverse":[93],"output.":[94],"Then,":[95],"develop":[97],"correlation":[99],"suppression":[100],"generate":[102],"distinctive":[103],"features,":[104],"aiming":[105],"reduce":[107],"homogenization.":[108],"This":[109],"involves":[110],"weakening":[111],"features":[112],"by":[113],"randomly":[114],"masking":[115],"intermediate":[117],"high-dimensional":[118],"feature":[119],"similarity":[120],"between":[121],"two":[122,156],"branches":[123],"same":[126],"sample.":[127],"Furthermore,":[128],"introduce":[130],"discrepancy":[132],"supervision":[133],"scheme":[134],"amplify":[136],"cross-supervision,":[141],"alleviates":[143],"bias":[146],"during":[147],"process":[150],"views":[153],"branches.":[157],"Extensive":[158],"experiments":[159],"conducted":[160],"on":[161],"WHU-CD,":[163],"GZ-CD":[165],"datasets":[166],"demonstrate":[167],"that":[168],"proposed":[170],"approach":[171],"performs":[172],"favorably":[173],"against":[174],"state-of-the-art":[176],"methods.":[177]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}