{"id":"https://openalex.org/W4367147113","doi":"https://doi.org/10.1109/tits.2023.3268063","title":"SOSMaskFuse: An Infrared and Visible Image Fusion Architecture Based on Salient Object Segmentation Mask","display_name":"SOSMaskFuse: An Infrared and Visible Image Fusion Architecture Based on Salient Object Segmentation Mask","publication_year":2023,"publication_date":"2023-04-26","ids":{"openalex":"https://openalex.org/W4367147113","doi":"https://doi.org/10.1109/tits.2023.3268063"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2023.3268063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3268063","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5030291480","display_name":"Guofa Li","orcid":"https://orcid.org/0000-0002-7889-4695"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guofa Li","raw_affiliation_strings":["College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-7889-4695","affiliations":[{"raw_affiliation_string":"College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087562223","display_name":"Xuanhu Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanhu Qian","raw_affiliation_strings":["Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068850333","display_name":"Xingda Qu","orcid":"https://orcid.org/0000-0003-1764-0357"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingda Qu","raw_affiliation_strings":["Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1764-0357","affiliations":[{"raw_affiliation_string":"Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.4837,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.97387867,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"24","issue":"9","first_page":"10118","last_page":"10137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9954000115394592,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9941999912261963,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7633394002914429},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.7429815530776978},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7143117189407349},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6410364508628845},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.568999171257019},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4822467267513275},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.46810078620910645},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46391478180885315},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.45466795563697815},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4387022852897644},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31888192892074585},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.15525421500205994},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10833171010017395}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7633394002914429},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.7429815530776978},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7143117189407349},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6410364508628845},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.568999171257019},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4822467267513275},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.46810078620910645},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46391478180885315},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.45466795563697815},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4387022852897644},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31888192892074585},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.15525421500205994},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10833171010017395},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2023.3268063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3268063","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5267107715","display_name":null,"funder_award_id":"JCYJ20190808142613246","funder_id":"https://openalex.org/F4320335803","funder_display_name":"Shenzhen Fundamental Research and Discipline Layout project"},{"id":"https://openalex.org/G7224410949","display_name":null,"funder_award_id":"52272421","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/F4320335803","display_name":"Shenzhen Fundamental Research and Discipline Layout project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W1863642109","https://openalex.org/W1894057436","https://openalex.org/W1947031653","https://openalex.org/W1964641132","https://openalex.org/W1980382026","https://openalex.org/W1990250903","https://openalex.org/W1997596006","https://openalex.org/W2009758395","https://openalex.org/W2045430211","https://openalex.org/W2047670868","https://openalex.org/W2054273865","https://openalex.org/W2056346283","https://openalex.org/W2091484864","https://openalex.org/W2110764733","https://openalex.org/W2133665775","https://openalex.org/W2143696753","https://openalex.org/W2153777140","https://openalex.org/W2161185676","https://openalex.org/W2179019672","https://openalex.org/W2194775991","https://openalex.org/W2256359941","https://openalex.org/W2266694576","https://openalex.org/W2287168411","https://openalex.org/W2338972621","https://openalex.org/W2415234561","https://openalex.org/W2552737937","https://openalex.org/W2554310451","https://openalex.org/W2589745805","https://openalex.org/W2624240493","https://openalex.org/W2725210667","https://openalex.org/W2755923768","https://openalex.org/W2767014298","https://openalex.org/W2774839435","https://openalex.org/W2798018774","https://openalex.org/W2798987894","https://openalex.org/W2809216229","https://openalex.org/W2809795042","https://openalex.org/W2884436604","https://openalex.org/W2900598697","https://openalex.org/W2912147220","https://openalex.org/W2912327653","https://openalex.org/W2921653116","https://openalex.org/W2938260698","https://openalex.org/W2938539052","https://openalex.org/W2938696568","https://openalex.org/W2945809413","https://openalex.org/W2947275790","https://openalex.org/W2948500402","https://openalex.org/W2962159375","https://openalex.org/W2963134949","https://openalex.org/W2963299740","https://openalex.org/W2963446712","https://openalex.org/W2963530785","https://openalex.org/W2963787388","https://openalex.org/W2963905288","https://openalex.org/W2964309882","https://openalex.org/W2982005186","https://openalex.org/W2987281104","https://openalex.org/W2995936506","https://openalex.org/W2998012573","https://openalex.org/W2998027361","https://openalex.org/W2999838674","https://openalex.org/W3007891240","https://openalex.org/W3009224666","https://openalex.org/W3011768656","https://openalex.org/W3014641072","https://openalex.org/W3039415429","https://openalex.org/W3043904761","https://openalex.org/W3046194589","https://openalex.org/W3101584909","https://openalex.org/W3102411220","https://openalex.org/W3102515681","https://openalex.org/W3105639468","https://openalex.org/W3112856749","https://openalex.org/W3126994406","https://openalex.org/W3133700567","https://openalex.org/W3139244260","https://openalex.org/W3158080681","https://openalex.org/W3166092877","https://openalex.org/W3171757599","https://openalex.org/W4226412070","https://openalex.org/W4226514331","https://openalex.org/W4247757937","https://openalex.org/W4312705088","https://openalex.org/W4320013936","https://openalex.org/W6637373629","https://openalex.org/W6639359414","https://openalex.org/W6761208571","https://openalex.org/W6847301315"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331","https://openalex.org/W2095903272"],"abstract_inverted_index":{"High-quality":[0],"fusion":[1,19,30,139],"images":[2,72,99,150,205],"with":[3,184,206],"infrared":[4,16,26,71,147,213],"and":[5,11,17,64,148,155,157,162,168,229],"visible":[6,18,42,81,137,149],"information":[7,24,40,69,210],"contribute":[8],"to":[9,35,46,106,144],"intelligent":[10],"safe":[12],"driving.":[13],"In":[14,44,83,117],"the":[15,21,29,36,62,66,84,103,108,113,118,128,131,142,160,171,175,179,192,221,227],"images,":[20],"useless":[22],"noise":[23,63],"in":[25,70,121],"image":[27,31],"makes":[28],"unclear,":[32],"which":[33],"leads":[34],"loss":[37],"of":[38,80,87,112,115,124],"texture":[39,78,209],"from":[41,225],"image.":[43,182],"order":[45],"solve":[47],"this":[48,88],"problem,":[49],"we":[50],"propose":[51],"a":[52,90],"novel":[53],"two-stage":[54],"network":[55,95,105,173,199],"(i.e.,":[56],"SOSMaskFuse)":[57],"that":[58,196],"can":[59,200],"effectively":[60],"reduce":[61],"extract":[65],"important":[67],"thermal":[68,214],"as":[73,75],"well":[74],"display":[76],"sufficient":[77],"details":[79],"images.":[82],"first":[85],"stage":[86],"network,":[89,130],"salient":[91],"object":[92],"segmentation":[93],"(SOS)":[94],"is":[96],"proposed.":[97],"Infrared":[98],"are":[100],"fed":[101],"into":[102,151,166,178],"SOS":[104],"obtain":[107],"corresponding":[109],"binarization":[110],"mask":[111,136,143],"region":[114],"interest.":[116],"second":[119],"stage,":[120],"each":[122],"layer":[123],"features":[125,177],"extracted":[126],"by":[127],"encoder":[129],"newly":[132],"proposed":[133,198,217],"IMV-F":[134],"(infrared":[135],"fusion)":[138],"strategy":[140],"uses":[141],"decompose":[145],"both":[146,226],"infrared-foreground,":[152],"visible-foreground,":[153],"infrared-background":[154],"visible-background,":[156],"then":[158],"fuses":[159],"foreground":[161],"background":[163,208],"parts":[164],"separately":[165],"fused-foreground":[167],"fused-background.":[169],"Finally,":[170],"decoder":[172],"reconstructs":[174],"fused":[176,181,204],"final":[180],"Compared":[183],"eighteen":[185,222],"competitive":[186],"algorithms":[187],"on":[188],"three":[189],"public":[190],"datasets,":[191],"experimental":[193],"results":[194],"indicate":[195],"our":[197],"produce":[201],"high":[202],"quality":[203],"clear":[207],"while":[211],"highlighting":[212],"information.":[215],"Our":[216],"SOSMaskFuse":[218],"generally":[219],"outperforms":[220],"compared":[223],"methods":[224],"quantitative":[228],"qualitative":[230],"perspectives.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}