{"id":"https://openalex.org/W3039479109","doi":"https://doi.org/10.1109/tmm.2022.3171688","title":"RGBT Salient Object Detection: A Large-Scale Dataset and Benchmark","display_name":"RGBT Salient Object Detection: A Large-Scale Dataset and Benchmark","publication_year":2022,"publication_date":"2022-05-03","ids":{"openalex":"https://openalex.org/W3039479109","doi":"https://doi.org/10.1109/tmm.2022.3171688","mag":"3039479109"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2022.3171688","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3171688","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5018878455","display_name":"Zhengzheng Tu","orcid":"https://orcid.org/0000-0002-9689-8657"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhengzheng Tu","raw_affiliation_strings":["Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101732999","display_name":"Yan Ma","orcid":"https://orcid.org/0009-0001-9313-239X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Ma","raw_affiliation_strings":["Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101457882","display_name":"Zhun Li","orcid":"https://orcid.org/0000-0001-8529-0438"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhun Li","raw_affiliation_strings":["Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398932","display_name":"Chenglong Li","orcid":"https://orcid.org/0000-0002-7233-2739"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglong Li","raw_affiliation_strings":["Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017747907","display_name":"Jieming Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jieming Xu","raw_affiliation_strings":["Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049206710","display_name":"Yongtao Liu","orcid":"https://orcid.org/0000-0003-0152-1783"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongtao Liu","raw_affiliation_strings":["Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5018878455"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":18.0689,"has_fulltext":false,"cited_by_count":197,"citation_normalized_percentile":{"value":0.99630956,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"25","issue":null,"first_page":"4163","last_page":"4176"},"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/T11094","display_name":"Face Recognition and Perception","score":0.9664999842643738,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9606999754905701,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8489183783531189},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.7508320808410645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7349327802658081},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6483573913574219},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5772454142570496},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5706659555435181},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5309887528419495},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4877358376979828},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4875945448875427},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4440138041973114},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4218595027923584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8489183783531189},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7508320808410645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7349327802658081},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6483573913574219},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5772454142570496},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5706659555435181},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5309887528419495},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4877358376979828},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4875945448875427},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4440138041973114},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4218595027923584},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2022.3171688","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3171688","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.47999998927116394,"display_name":"Responsible consumption and production"}],"awards":[{"id":"https://openalex.org/G1403953077","display_name":null,"funder_award_id":"61876002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2231845458","display_name":null,"funder_award_id":"61860206004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5691048766","display_name":null,"funder_award_id":"2108085MF211","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W20683899","https://openalex.org/W1514535095","https://openalex.org/W1854404533","https://openalex.org/W1866311589","https://openalex.org/W1966025376","https://openalex.org/W1976409045","https://openalex.org/W1976754232","https://openalex.org/W1993713494","https://openalex.org/W1996326832","https://openalex.org/W2016802777","https://openalex.org/W2037954058","https://openalex.org/W2039298799","https://openalex.org/W2086791339","https://openalex.org/W2100470808","https://openalex.org/W2105482032","https://openalex.org/W2119228922","https://openalex.org/W2221625691","https://openalex.org/W2461475918","https://openalex.org/W2520640394","https://openalex.org/W2527415613","https://openalex.org/W2560023338","https://openalex.org/W2605929543","https://openalex.org/W2620968817","https://openalex.org/W2730874440","https://openalex.org/W2754188632","https://openalex.org/W2765667535","https://openalex.org/W2765838470","https://openalex.org/W2766315367","https://openalex.org/W2776622059","https://openalex.org/W2798791651","https://openalex.org/W2798825526","https://openalex.org/W2798857366","https://openalex.org/W2799074129","https://openalex.org/W2799647879","https://openalex.org/W2805395174","https://openalex.org/W2807746031","https://openalex.org/W2884555738","https://openalex.org/W2884585870","https://openalex.org/W2887486131","https://openalex.org/W2887522866","https://openalex.org/W2896228140","https://openalex.org/W2907643346","https://openalex.org/W2909381593","https://openalex.org/W2939217524","https://openalex.org/W2942049721","https://openalex.org/W2945809413","https://openalex.org/W2950178297","https://openalex.org/W2952059491","https://openalex.org/W2957414648","https://openalex.org/W2958918070","https://openalex.org/W2961348656","https://openalex.org/W2962835968","https://openalex.org/W2963112696","https://openalex.org/W2963299740","https://openalex.org/W2963685207","https://openalex.org/W2963706010","https://openalex.org/W2963905288","https://openalex.org/W2963954913","https://openalex.org/W2964105113","https://openalex.org/W2964121744","https://openalex.org/W2964308564","https://openalex.org/W2985335644","https://openalex.org/W2990984982","https://openalex.org/W3002301267","https://openalex.org/W3034320133","https://openalex.org/W3035357085","https://openalex.org/W3099871687","https://openalex.org/W4239147634","https://openalex.org/W4288281300","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638992375","https://openalex.org/W6752606552","https://openalex.org/W6765909844"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2329500892","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W4390721878","https://openalex.org/W2745033168","https://openalex.org/W3102673927","https://openalex.org/W2327954668"],"abstract_inverted_index":{"Salient":[0],"object":[1,19,84,166,223,243],"detection":[2,85,224],"in":[3,57,73,124],"complex":[4,38,58],"scenes":[5,126],"and":[6,37,44,69,95,127,151,204,228,234],"environments":[7,36,128],"is":[8,86,249],"a":[9,49,92,102,140,214],"challenging":[10],"research":[11,51,80,238],"topic.":[12],"Most":[13],"works":[14],"focus":[15],"on":[16,201,225],"RGB-based":[17],"salient":[18,55,83,165,177,222,242],"detection,":[20],"which":[21,144],"limits":[22],"its":[23],"performance":[24],"of":[25,42,91,133,148,155,173,176,217,220],"real-life":[26],"applications":[27],"when":[28],"confronted":[29],"with":[30,115,158],"adverse":[31],"conditions":[32],"such":[33,101],"as":[34],"dark":[35],"backgrounds.":[39],"Taking":[40],"advantage":[41],"RGB":[43],"thermal":[45,62],"infrared(RGBT)":[46],"images":[47],"becomes":[48],"new":[50,246],"direction":[52],"for":[53,81,129,162,240],"detecting":[54],"objects":[56],"scenes,":[59],"since":[60],"the":[61,66,89,131,159,171,187,193,198],"infrared":[63],"spectrum":[64],"provides":[65],"complementary":[67],"information":[68],"has":[70,120],"been":[71],"used":[72],"many":[74],"computer":[75],"vision":[76],"tasks.":[77],"However,":[78],"current":[79],"RGBT":[82,103,112,164,221,241],"limited":[87],"by":[88],"lack":[90],"large-scale":[93],"dataset":[94,105,203,248],"comprehensive":[96,215],"benchmark.":[97],"This":[98],"work":[99],"contributes":[100],"image":[104,113],"named":[106],"VT5000,":[107],"including":[108],"5000":[109],"spatially":[110],"aligned":[111],"pairs":[114],"ground":[116],"truth":[117],"annotations.":[118],"VT5000":[119,202,226,247],"11":[121],"challenges":[122],"collected":[123],"different":[125,218],"exploring":[130],"robustness":[132],"algorithms.":[134],"With":[135],"this":[136],"dataset,":[137,227],"we":[138,179,211],"propose":[139],"powerful":[141],"baseline":[142,195],"approach,":[143],"extracts":[145],"multilevel":[146],"features":[147,154],"each":[149],"modality":[150],"aggregates":[152],"these":[153],"all":[156],"modalities":[157],"attention":[160],"mechanism":[161],"accurate":[163],"detection.":[167,244],"To":[168],"further":[169],"solve":[170],"problem":[172],"blur":[174],"boundaries":[175],"objects,":[178],"also":[180],"use":[181],"an":[182],"edge":[183],"loss":[184],"to":[185],"refine":[186],"boundaries.":[188],"Extensive":[189],"experiments":[190],"show":[191],"that":[192],"proposed":[194],"approach":[196],"outperforms":[197],"state-of-the-art":[199],"methods":[200],"other":[205],"two":[206],"public":[207],"datasets.":[208],"In":[209],"addition,":[210],"carry":[212],"out":[213],"analysis":[216],"algorithms":[219],"then":[229],"make":[230],"several":[231],"valuable":[232],"conclusions":[233],"provide":[235],"some":[236],"potential":[237],"directions":[239],"Our":[245],"made":[250],"publicly":[251],"available":[252],"at":[253],"https://github.com/lz118/RGBT-Salient-Object-Detection.":[254]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":62},{"year":2024,"cited_by_count":57},{"year":2023,"cited_by_count":44},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}