{"id":"https://openalex.org/W4387614573","doi":"https://doi.org/10.1145/3624984","title":"Weighted Guided Optional Fusion Network for RGB-T Salient Object Detection","display_name":"Weighted Guided Optional Fusion Network for RGB-T Salient Object Detection","publication_year":2023,"publication_date":"2023-10-13","ids":{"openalex":"https://openalex.org/W4387614573","doi":"https://doi.org/10.1145/3624984"},"language":"en","primary_location":{"id":"doi:10.1145/3624984","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3624984","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3624984","source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3624984","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100440115","display_name":"Jie Wang","orcid":"https://orcid.org/0000-0002-7266-8179"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wang","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-7266-8179","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114686049","display_name":"Guoqiang Li","orcid":"https://orcid.org/0000-0001-6671-6720"},"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/I4210116191","display_name":"Institutes of Science and Development","ror":"https://ror.org/02ce9qs13","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210116191"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Li","raw_affiliation_strings":["Institutes of Science and Development, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6671-6720","affiliations":[{"raw_affiliation_string":"Institutes of Science and Development, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210116191"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102223503","display_name":"Jie Shi","orcid":"https://orcid.org/0009-0007-0433-3397"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Shi","raw_affiliation_strings":["North Automatic Control Technology Institute, Taiyuan, China"],"raw_orcid":"https://orcid.org/0009-0007-0433-3397","affiliations":[{"raw_affiliation_string":"North Automatic Control Technology Institute, Taiyuan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019831449","display_name":"Jinwen Xi","orcid":"https://orcid.org/0000-0002-7504-3457"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinwen Xi","raw_affiliation_strings":["Zhongguancun Laboratory, Beijing, P.R.China"],"raw_orcid":"https://orcid.org/0000-0002-7504-3457","affiliations":[{"raw_affiliation_string":"Zhongguancun Laboratory, Beijing, P.R.China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6608,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.84803612,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"20","issue":"5","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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":1.0,"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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9794999957084656,"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/rgb-color-model","display_name":"RGB color model","score":0.8213834166526794},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.7075158357620239},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6984614133834839},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6601475477218628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.65165776014328},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6106088161468506},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5161970257759094},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5122737288475037},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5053029656410217},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4843508005142212},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.47557345032691956},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.44245463609695435},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4416753649711609},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34005147218704224}],"concepts":[{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.8213834166526794},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.7075158357620239},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6984614133834839},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6601475477218628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.65165776014328},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6106088161468506},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5161970257759094},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5122737288475037},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5053029656410217},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4843508005142212},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.47557345032691956},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.44245463609695435},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4416753649711609},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34005147218704224},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3624984","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3624984","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3624984","source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3624984","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3624984","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3624984","source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5699999928474426,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387614573.pdf","grobid_xml":"https://content.openalex.org/works/W4387614573.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W1982075130","https://openalex.org/W1994273284","https://openalex.org/W2100470808","https://openalex.org/W2121378474","https://openalex.org/W2412782625","https://openalex.org/W2588503511","https://openalex.org/W2887486131","https://openalex.org/W2914911817","https://openalex.org/W2942049721","https://openalex.org/W2945809413","https://openalex.org/W2969626490","https://openalex.org/W2990201021","https://openalex.org/W2995936506","https://openalex.org/W3003376220","https://openalex.org/W3011305844","https://openalex.org/W3039479109","https://openalex.org/W3047800102","https://openalex.org/W3048216881","https://openalex.org/W3048236698","https://openalex.org/W3083388823","https://openalex.org/W3093213431","https://openalex.org/W3097336090","https://openalex.org/W3108812909","https://openalex.org/W3113755791","https://openalex.org/W3114848016","https://openalex.org/W3118710621","https://openalex.org/W3122111862","https://openalex.org/W3135874576","https://openalex.org/W3140528754","https://openalex.org/W3141316140","https://openalex.org/W3151956566","https://openalex.org/W3159018159","https://openalex.org/W3164802490","https://openalex.org/W3166092877","https://openalex.org/W3171757599","https://openalex.org/W3185043317","https://openalex.org/W3187910480","https://openalex.org/W3188963955","https://openalex.org/W3200349439","https://openalex.org/W3207668590","https://openalex.org/W3211246039","https://openalex.org/W3211728555","https://openalex.org/W3212645988","https://openalex.org/W4205688290","https://openalex.org/W4206715824","https://openalex.org/W4212863783","https://openalex.org/W4220947405","https://openalex.org/W4221001582","https://openalex.org/W4225531230","https://openalex.org/W4226354398","https://openalex.org/W4234552385","https://openalex.org/W4285040441","https://openalex.org/W4285161446","https://openalex.org/W4285267224","https://openalex.org/W4288773267","https://openalex.org/W4297899386","https://openalex.org/W4301409532","https://openalex.org/W4312699294","https://openalex.org/W4313008766","https://openalex.org/W4315606099","https://openalex.org/W4315750689","https://openalex.org/W4367663481","https://openalex.org/W4387969358"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2385859805","https://openalex.org/W2369710579","https://openalex.org/W2530972254","https://openalex.org/W2545348020","https://openalex.org/W4327728159","https://openalex.org/W2912751582","https://openalex.org/W2130893381"],"abstract_inverted_index":{"There":[0],"is":[1,23,71,220,273,308],"no":[2],"doubt":[3],"that":[4,45],"the":[5,24,28,40,91,112,153,163,169,184,229,249,278,292,300],"rational":[6],"and":[7,12,57,63,187,252],"effective":[8,81],"use":[9,93],"of":[10,30,39,49,94,108,144,228,248,267],"visible":[11],"thermal":[13],"infrared":[14],"image":[15],"data":[16,43],"information":[17],"to":[18,26,115,152,158,162,179,197,223,263,276],"achieve":[19],"cross-modal":[20,82,199,268],"complementary":[21,200],"fusion":[22,83,190,209,255,272],"key":[25],"improving":[27],"performance":[29,134,156,243,297],"RGB-T":[31,41,170,213,302],"salient":[32],"object":[33],"detection":[34,155,172],"(SOD).":[35],"A":[36],"meticulous":[37],"analysis":[38],"SOD":[42,303],"reveals":[44],"it":[46,101,174],"mainly":[47],"consists":[48],"three":[50,286],"scenarios":[51],"in":[52,126,132,137],"which":[53,109],"both":[54,87,118],"modalities":[55,88,119,148,186],"(RGB":[56,68],"T)":[58,70],"have":[59,121],"a":[60,65,138,142,205,216,234],"significant":[61,98,123],"foreground":[62],"only":[64],"single":[66],"modality":[67,110],"or":[69],"disturbed.":[72],"However,":[73],"existing":[74],"methods":[75],"are":[76],"obsessed":[77],"with":[78,146,299],"pursuing":[79],"more":[80,177],"based":[84,192],"on":[85,193,260,285],"treating":[86],"equally.":[89],"Obviously,":[90],"subjective":[92],"equivalence":[95],"has":[96],"two":[97,147,185,250],"limitations.":[99],"Firstly,":[100],"does":[102],"not":[103],"allow":[104],"for":[105,168,183,212,246],"practical":[106],"discrimination":[107],"makes":[111],"dominant":[113],"contribution":[114,244],"performance.":[116],"While":[117],"may":[120],"visually":[122],"foregrounds,":[124],"differences":[125],"their":[127,159],"imaging":[128],"properties":[129],"will":[130,149,239,258],"result":[131],"distinct":[133],"contributions.":[135],"Secondly,":[136],"specific":[139,189],"acquisition":[140],"scenario,":[141],"pair":[143],"images":[145],"contribute":[150],"differently":[151],"final":[154,279],"due":[157],"varying":[160],"sensitivity":[161],"same":[164],"background":[165],"interference.":[166],"Intelligibly,":[167],"saliency":[171,280],"task,":[173],"would":[175],"be":[176],"reasonable":[178],"generate":[180,240],"exclusive":[181,241],"weights":[182,245],"select":[188],"mechanisms":[191],"different":[194],"weight":[195,235,262],"configurations":[196],"perform":[198,224,264],"integration.":[201],"Consequently,":[202],"we":[203],"propose":[204],"weighted":[206],"guided":[207],"optional":[208,254],"network":[210,242],"(WGOFNet)":[211],"SOD.":[214],"Specifically,":[215],"feature":[217],"refinement":[218,227],"module":[219,237,256],"first":[221],"used":[222],"an":[225,253],"initial":[226],"extracted":[230],"multilevel":[231],"features.":[232],"Subsequently,":[233],"generation":[236],"(WGM)":[238],"each":[247],"modalities,":[251],"(OFM)":[257],"rely":[259],"this":[261],"particular":[265],"integration":[266],"information.":[269],"Simple":[270],"cross-level":[271],"finally":[274],"utilized":[275],"obtain":[277],"prediction":[281],"map.":[282],"Comprehensive":[283],"experiments":[284],"publicly":[287],"available":[288,309],"benchmark":[289],"datasets":[290],"demonstrate":[291],"proposed":[293],"WGOFNet":[294],"achieves":[295],"superior":[296],"compared":[298],"state-of-the-art":[301],"methods.":[304],"The":[305],"source":[306],"code":[307],"at:":[310],"https://github.com/WJ-CV/WGOFNet":[311],".":[312]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
