{"id":"https://openalex.org/W4408280794","doi":"https://doi.org/10.1109/tetci.2025.3543272","title":"Dual-Branch Semantic Enhancement Network Joint With Iterative Self-Matching Training Strategy for Semi-Supervised Semantic Segmentation","display_name":"Dual-Branch Semantic Enhancement Network Joint With Iterative Self-Matching Training Strategy for Semi-Supervised Semantic Segmentation","publication_year":2025,"publication_date":"2025-03-10","ids":{"openalex":"https://openalex.org/W4408280794","doi":"https://doi.org/10.1109/tetci.2025.3543272"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2025.3543272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2025.3543272","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","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":"https://openalex.org/A5114585413","display_name":"Feng Xiao","orcid":"https://orcid.org/0000-0003-1969-8616"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Xiao","raw_affiliation_strings":["Tianjin University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-1969-8616","affiliations":[{"raw_affiliation_string":"Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072389245","display_name":"Ruyu Liu","orcid":"https://orcid.org/0000-0003-2130-9122"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruyu Liu","raw_affiliation_strings":["School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2130-9122","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091339016","display_name":"Xu Cheng","orcid":"https://orcid.org/0000-0002-4724-5748"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Cheng","raw_affiliation_strings":["Tianjin University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-4724-5748","affiliations":[{"raw_affiliation_string":"Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425884","display_name":"Haoyu Zhang","orcid":"https://orcid.org/0000-0002-2118-6786"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyu Zhang","raw_affiliation_strings":["School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100434758","display_name":"Jianhua Zhang","orcid":"https://orcid.org/0000-0001-7844-6035"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Zhang","raw_affiliation_strings":["Tianjin University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-7844-6035","affiliations":[{"raw_affiliation_string":"Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032314861","display_name":"Yaochu Jin","orcid":"https://orcid.org/0000-0003-1100-0631"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaochu Jin","raw_affiliation_strings":["Westlake University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1100-0631","affiliations":[{"raw_affiliation_string":"Westlake University, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5114585413"],"corresponding_institution_ids":["https://openalex.org/I136765683"],"apc_list":null,"apc_paid":null,"fwci":2.2665,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.86573957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"9","issue":"3","first_page":"2308","last_page":"2320"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.7738000154495239,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.7738000154495239,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.7157999873161316,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.7143999934196472,"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":0.6992598176002502},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6769236326217651},{"id":"https://openalex.org/keywords/semantic-matching","display_name":"Semantic matching","score":0.6598905324935913},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6350301504135132},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5866317749023438},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.583600640296936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5831453800201416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36377865076065063},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35365116596221924},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3524782061576843},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13279631733894348},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07003960013389587},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06317329406738281}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6992598176002502},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6769236326217651},{"id":"https://openalex.org/C2778493491","wikidata":"https://www.wikidata.org/wiki/Q7449072","display_name":"Semantic matching","level":3,"score":0.6598905324935913},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6350301504135132},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5866317749023438},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.583600640296936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5831453800201416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36377865076065063},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35365116596221924},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3524782061576843},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13279631733894348},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07003960013389587},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06317329406738281},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2025.3543272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2025.3543272","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1047425396","display_name":null,"funder_award_id":"62176183","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1265821997","display_name":null,"funder_award_id":"62202137","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8760444615","display_name":null,"funder_award_id":"62306097","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2031489346","https://openalex.org/W2340897893","https://openalex.org/W2560023338","https://openalex.org/W2590822257","https://openalex.org/W2768975974","https://openalex.org/W2778764040","https://openalex.org/W2787091153","https://openalex.org/W2895340641","https://openalex.org/W2897135094","https://openalex.org/W2921406441","https://openalex.org/W2955058313","https://openalex.org/W2963521811","https://openalex.org/W2963785012","https://openalex.org/W2981952041","https://openalex.org/W2987039128","https://openalex.org/W2990908872","https://openalex.org/W2995808743","https://openalex.org/W3033745775","https://openalex.org/W3035160371","https://openalex.org/W3035680157","https://openalex.org/W3107695429","https://openalex.org/W3112561780","https://openalex.org/W3120562181","https://openalex.org/W3138136606","https://openalex.org/W3157653192","https://openalex.org/W3164772195","https://openalex.org/W3167251133","https://openalex.org/W3171581326","https://openalex.org/W3172949220","https://openalex.org/W3173292968","https://openalex.org/W3195975500","https://openalex.org/W3204140421","https://openalex.org/W3206703725","https://openalex.org/W4205127876","https://openalex.org/W4221161877","https://openalex.org/W4225965278","https://openalex.org/W4226396876","https://openalex.org/W4308237904","https://openalex.org/W4312310512","https://openalex.org/W4312328737","https://openalex.org/W4312651959","https://openalex.org/W4313427362","https://openalex.org/W4376626145","https://openalex.org/W4383097619","https://openalex.org/W4385819900","https://openalex.org/W4387332817","https://openalex.org/W4389859929","https://openalex.org/W4391147971","https://openalex.org/W4393219295","https://openalex.org/W4401163128","https://openalex.org/W4402509196","https://openalex.org/W4403791799","https://openalex.org/W4410393223","https://openalex.org/W6681588610","https://openalex.org/W6684191040","https://openalex.org/W6718379498","https://openalex.org/W6733814495","https://openalex.org/W6739696289","https://openalex.org/W6743428213","https://openalex.org/W6750469568","https://openalex.org/W6765939562","https://openalex.org/W6768220425","https://openalex.org/W6772553744","https://openalex.org/W6773005947","https://openalex.org/W6773813882","https://openalex.org/W6779101013","https://openalex.org/W6784265214","https://openalex.org/W6802946413","https://openalex.org/W6846091866"],"related_works":["https://openalex.org/W1996130883","https://openalex.org/W2748574964","https://openalex.org/W1972035260","https://openalex.org/W2888483922","https://openalex.org/W2317351040","https://openalex.org/W4396737233","https://openalex.org/W4379231730","https://openalex.org/W1986106996","https://openalex.org/W4285012873","https://openalex.org/W2122517733"],"abstract_inverted_index":{"With":[0],"the":[1,35,77,92,103,109,114,155,163,176,190,197,200,205,243,259],"rapid":[2],"development":[3],"of":[4,41,58,85,116,180,199,261],"deep":[5],"learning,":[6],"supervised":[7,24,244],"training":[8,156,160,191,245],"methods":[9],"have":[10],"become":[11],"increasingly":[12],"sophisticated.":[13],"There":[14],"has":[15],"been":[16],"a":[17,55,213],"growing":[18],"trend":[19],"towards":[20],"semi-supervised":[21,47,215],"and":[22,136,233],"weakly":[23],"learning":[25],"methods.":[26],"This":[27,193],"shift":[28],"in":[29,37,158],"focus":[30],"is":[31,50,64],"partly":[32],"due":[33],"to":[34,46,52,65,69,101,107,154,173,187,257],"challenges":[36],"obtaining":[38],"large":[39,56],"amounts":[40],"labeled":[42,67],"data.":[43,60,75,192],"The":[44,235],"key":[45],"semantic":[48,216],"segmentation":[49,94,217],"how":[51],"efficiently":[53],"use":[54,66,102],"amount":[57],"unlabeled":[59,74,127],"A":[61],"common":[62],"practice":[63],"data":[68,128],"generate":[70],"pseudo":[71,78,117,178,201],"labels":[72,79,118,179,202],"for":[73],"However,":[76],"generated":[80,203],"by":[81,139,204,247],"these":[82],"operations":[83],"are":[84,151,184],"low":[86],"quality,":[87],"which":[88,113,183],"severely":[89],"interferes":[90],"with":[91],"subsequent":[93],"task.":[95],"In":[96,123,249],"this":[97,209],"work,":[98],"we":[99,125,211,251],"propose":[100,212],"iterative":[104,145,194],"self-matching":[105,146],"strategy":[106],"enhance":[108],"self-training":[110],"strategy,":[111,147],"through":[112],"quality":[115],"can":[119],"be":[120],"significantly":[121],"improved.":[122],"practice,":[124],"split":[126],"into":[129],"two":[130],"confidence":[131],"types,":[132],"i.e.,":[133],"reliable":[134,149],"images":[135,150],"unreliable":[137,181],"images,":[138,182],"an":[140,169],"adaptive":[141,170],"threshold.":[142],"Using":[143],"our":[144,166,240,262],"all":[148],"automatically":[152],"added":[153],"dataset":[157],"each":[159],"iteration.":[161],"At":[162],"same":[164],"time,":[165],"algorithm":[167],"employs":[168],"selection":[171],"mechanism":[172],"filter":[174],"out":[175],"highest-scoring":[177],"then":[185],"used":[186],"further":[188],"expand":[189],"process":[195],"enhances":[196],"reliability":[198],"model.":[206],"Based":[207],"on":[208,224],"idea,":[210],"novel":[214],"framework":[218],"called":[219],"SISS-Net.":[220],"We":[221],"conducted":[222],"experiments":[223,256],"three":[225],"public":[226],"benchmark":[227],"datasets:":[228],"Pascal":[229],"VOC":[230],"2012,":[231],"COCO,":[232],"Cityscapes.":[234],"experimental":[236],"results":[237],"show":[238],"that":[239],"method":[241,246],"outperforms":[242],"9.3%.":[248],"addition,":[250],"performed":[252],"various":[253],"joint":[254],"ablation":[255],"validate":[258],"effectiveness":[260],"method.":[263]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
