{"id":"https://openalex.org/W7105017883","doi":"https://doi.org/10.26599/cvm.2025.9450501","title":"A Comprehensive Survey on the Research and Development of RGB-T Salient Object Detection","display_name":"A Comprehensive Survey on the Research and Development of RGB-T Salient Object Detection","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W7105017883","doi":"https://doi.org/10.26599/cvm.2025.9450501"},"language":"en","primary_location":{"id":"doi:10.26599/cvm.2025.9450501","is_oa":true,"landing_page_url":"https://doi.org/10.26599/cvm.2025.9450501","pdf_url":null,"source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.26599/cvm.2025.9450501","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jia Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Hou","raw_affiliation_strings":["School of Electronics and Informaiton Enginnering, Hangzhou Dianzi University,Hangzhou,China,310018"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Informaiton Enginnering, Hangzhou Dianzi University,Hangzhou,China,310018","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hongfa Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfa Wen","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University,Hangzhou,China,310018"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University,Hangzhou,China,310018","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qiang Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Zhao","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University,Hangzhou,China,310018"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University,Hangzhou,China,310018","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Junbo Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junbo Ma","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University,Hangzhou,China,310018"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University,Hangzhou,China,310018","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zongpeng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongpeng Li","raw_affiliation_strings":["School of Cyber Space Security, Hangzhou Dianzi University,Hangzhou,China,310018"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Space Security, Hangzhou Dianzi University,Hangzhou,China,310018","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shuai Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Wang","raw_affiliation_strings":["School of Cyber Space Security, Hangzhou Dianzi University,Hangzhou,China,310018"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Space Security, Hangzhou Dianzi University,Hangzhou,China,310018","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":null,"display_name":"Chenggang Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenggang Yan","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University,Hangzhou,China,310018"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University,Hangzhou,China,310018","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":1.5311,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.86258481,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"12","issue":"2","first_page":"273","last_page":"303"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9955999851226807,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9955999851226807,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.0012000000569969416,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.00019999999494757503,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.7551000118255615},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.7027999758720398},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5340999960899353},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4936000108718872},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.46880000829696655},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45170000195503235},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4219000041484833},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.39590001106262207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7599999904632568},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7551000118255615},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.7027999758720398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5649999976158142},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5340999960899353},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5027999877929688},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4936000108718872},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.46880000829696655},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46380001306533813},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45170000195503235},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4219000041484833},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.39590001106262207},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.391400009393692},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.38920000195503235},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.33570000529289246},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33000001311302185},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.29679998755455017},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2694999873638153},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.25380000472068787}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.26599/cvm.2025.9450501","is_oa":true,"landing_page_url":"https://doi.org/10.26599/cvm.2025.9450501","pdf_url":null,"source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1c14df711ae94109ad842c5cbffe0a15","is_oa":true,"landing_page_url":"https://doaj.org/article/1c14df711ae94109ad842c5cbffe0a15","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Visual Media, Vol 12, Iss 2, Pp 273-303 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.26599/cvm.2025.9450501","is_oa":true,"landing_page_url":"https://doi.org/10.26599/cvm.2025.9450501","pdf_url":null,"source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3986430504","display_name":null,"funder_award_id":"2023YFB4502800,2023YFB4502803","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7790325091","display_name":"\u591a\u6a21\u6001\u4fe1\u606f\u667a\u80fd\u611f\u77e5\u4e0e\u8bed\u4e49\u8981\u7d20\u7b5b\u9009\u7814\u7a76","funder_award_id":"LDT23F01011F01","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G7963872170","display_name":null,"funder_award_id":"61931008,U21B2024,62071415","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Salient":[0],"object":[1],"detection":[2],"(SOD)":[3],"aims":[4],"to":[5,64,185],"mimic":[6],"human":[7],"visual":[8],"perception":[9],"by":[10],"identifying":[11],"the":[12,65,71,142,145,151,187,191,199],"most":[13],"eye-catching":[14],"objects":[15],"within":[16,198],"a":[17,22,124],"scene,":[18],"and":[19,47,50,81,90,99,107,119,133,150,163],"has":[20],"remained":[21],"popular":[23],"research":[24],"topic":[25],"for":[26,38,173],"many":[27],"years.":[28],"The":[29],"introduction":[30],"of":[31,67,75,94,126,144,147,153,190],"thermal":[32],"(T)":[33],"images":[34],"offers":[35],"additional":[36],"information":[37],"challenging":[39],"scenarios":[40],"such":[41,101],"as":[42,102],"those":[43],"with":[44,56],"low":[45],"light":[46],"complex":[48],"backgrounds,":[49],"thus":[51],"enhance":[52],"performance":[53],"when":[54],"combined":[55],"RGB":[57],"images.":[58],"In":[59],"this":[60,178],"paper,":[61],"we":[62,113,158],"have,":[63],"best":[66],"our":[68],"ability,":[69],"conducted":[70],"first":[72],"comprehensive":[73],"survey":[74,179],"dual-modality":[76],"RGB-T":[77,84,116,167],"SOD.":[78],"We":[79,122,136,176],"summarize":[80],"categorize":[82],"published":[83],"SOD":[85,117,128,168],"models,":[86],"emphasizing":[87],"their":[88],"characteristics":[89],"features.":[91],"Important":[92],"components":[93],"these":[95],"models":[96,129],"are":[97],"classified":[98],"elaborated,":[100],"feature":[103],"extraction,":[104],"modality":[105],"fusion,":[106],"loss":[108,148],"function":[109,149],"design.":[110],"Following":[111],"this,":[112],"analyze":[114],"existing":[115],"datasets":[118,154],"evaluation":[120],"metrics.":[121],"evaluate":[123],"selection":[125],"representative":[127],"using":[130],"unified":[131],"protocols":[132],"statistical":[134],"analysis.":[135],"also":[137],"present":[138],"comparative":[139],"experiments":[140],"on":[141,155],"impact":[143],"choice":[146],"usage":[152],"performance.":[156],"Finally,":[157],"consider":[159],"several":[160],"key":[161],"issues":[162],"potential":[164],"solutions":[165],"in":[166],"research,":[169],"revealing":[170],"promising":[171],"directions":[172],"future":[174],"efforts.":[175],"hope":[177],"will":[180],"offer":[181],"an":[182],"effective":[183],"way":[184],"understand":[186],"current":[188],"state":[189],"technology":[192],"and,":[193],"more":[194],"importantly,":[195],"stimulate":[196],"discussion":[197],"community.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-11-12T00:00:00"}
