{"id":"https://openalex.org/W4399409690","doi":"https://doi.org/10.1109/tmm.2024.3410542","title":"Alignment-Free RGBT Salient Object Detection: Semantics-Guided Asymmetric Correlation Network and a Unified Benchmark","display_name":"Alignment-Free RGBT Salient Object Detection: Semantics-Guided Asymmetric Correlation Network and a Unified Benchmark","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399409690","doi":"https://doi.org/10.1109/tmm.2024.3410542"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3410542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3410542","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/A5061985746","display_name":"Kunpeng Wang","orcid":"https://orcid.org/0000-0002-2788-7583"},"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":"Kunpeng Wang","raw_affiliation_strings":["Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, 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/A5103192669","display_name":"Danying Lin","orcid":"https://orcid.org/0009-0001-9993-0448"},"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":"Danying Lin","raw_affiliation_strings":["Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, 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":["Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui Provincial Key Laboratory of Security Artificial Intelligence, School of Artificial Intelligence, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui Provincial Key Laboratory of Security Artificial Intelligence, School of Artificial Intelligence, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","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":false,"raw_author_name":"Zhengzheng Tu","raw_affiliation_strings":["Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, 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/A5100372676","display_name":"Bin Luo","orcid":"https://orcid.org/0000-0001-5948-5055"},"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":"Bin Luo","raw_affiliation_strings":["Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, 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":5,"corresponding_author_ids":["https://openalex.org/A5061985746"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":6.3697,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.97493621,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"26","issue":null,"first_page":"10692","last_page":"10707"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9993000030517578,"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":0.9993000030517578,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9843999743461609,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9629999995231628,"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/computer-science","display_name":"Computer science","score":0.8658820390701294},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6859128475189209},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5685344338417053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48962026834487915},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.47714778780937195},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47049829363822937},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3545871675014496},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34592369198799133},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3252438008785248},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2455286979675293}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8658820390701294},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6859128475189209},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5685344338417053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48962026834487915},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.47714778780937195},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47049829363822937},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3545871675014496},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34592369198799133},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3252438008785248},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2455286979675293},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3410542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3410542","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":[{"display_name":"Reduced inequalities","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/10"}],"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/G4018446361","display_name":null,"funder_award_id":"62376005","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"},{"id":"https://openalex.org/G845944294","display_name":null,"funder_award_id":"62376004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G849060900","display_name":null,"funder_award_id":"2208085J18","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":94,"referenced_works":["https://openalex.org/W20683899","https://openalex.org/W1894057436","https://openalex.org/W1901129140","https://openalex.org/W1976409045","https://openalex.org/W1993713494","https://openalex.org/W1994273284","https://openalex.org/W2002781701","https://openalex.org/W2039313011","https://openalex.org/W2046835352","https://openalex.org/W2086791339","https://openalex.org/W2520640394","https://openalex.org/W2520707372","https://openalex.org/W2601564443","https://openalex.org/W2620958690","https://openalex.org/W2740667773","https://openalex.org/W2765838470","https://openalex.org/W2766315367","https://openalex.org/W2799907879","https://openalex.org/W2887486131","https://openalex.org/W2938260698","https://openalex.org/W2945809413","https://openalex.org/W2957414648","https://openalex.org/W2961348656","https://openalex.org/W2962914239","https://openalex.org/W2963112696","https://openalex.org/W2965638232","https://openalex.org/W2990201021","https://openalex.org/W2990278031","https://openalex.org/W2995936506","https://openalex.org/W3019728440","https://openalex.org/W3039479109","https://openalex.org/W3096609285","https://openalex.org/W3097053213","https://openalex.org/W3113755791","https://openalex.org/W3114848016","https://openalex.org/W3118710621","https://openalex.org/W3122006940","https://openalex.org/W3126725132","https://openalex.org/W3134912427","https://openalex.org/W3135874576","https://openalex.org/W3138516171","https://openalex.org/W3143419403","https://openalex.org/W3151956566","https://openalex.org/W3159018159","https://openalex.org/W3163132162","https://openalex.org/W3166092877","https://openalex.org/W3170841864","https://openalex.org/W3173882198","https://openalex.org/W3177040887","https://openalex.org/W3185043317","https://openalex.org/W3188963955","https://openalex.org/W3202201260","https://openalex.org/W3207804100","https://openalex.org/W3209732904","https://openalex.org/W3212645988","https://openalex.org/W3214586131","https://openalex.org/W3216044769","https://openalex.org/W4205688290","https://openalex.org/W4206715824","https://openalex.org/W4206873376","https://openalex.org/W4212823076","https://openalex.org/W4214561053","https://openalex.org/W4214696292","https://openalex.org/W4214831601","https://openalex.org/W4225531230","https://openalex.org/W4285058230","https://openalex.org/W4285161446","https://openalex.org/W4285163934","https://openalex.org/W4285267224","https://openalex.org/W4293731746","https://openalex.org/W4295165408","https://openalex.org/W4307771365","https://openalex.org/W4312699294","https://openalex.org/W4313025803","https://openalex.org/W4313546627","https://openalex.org/W4313590935","https://openalex.org/W4315606099","https://openalex.org/W4319866558","https://openalex.org/W4319879007","https://openalex.org/W4320006885","https://openalex.org/W4376872192","https://openalex.org/W4382999274","https://openalex.org/W4385245566","https://openalex.org/W4386065462","https://openalex.org/W4386072314","https://openalex.org/W4386076434","https://openalex.org/W4386581228","https://openalex.org/W4387757595","https://openalex.org/W4387968414","https://openalex.org/W4387968553","https://openalex.org/W4387969358","https://openalex.org/W4390872521","https://openalex.org/W4396896548","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2329500892","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2087343574","https://openalex.org/W4246352526"],"abstract_inverted_index":{"RGB":[0,76,131,149],"and":[1,21,46,77,150,175,181],"Thermal":[2],"(RGBT)":[3],"Salient":[4],"Object":[5],"Detection":[6],"(SOD)":[7],"aims":[8],"to":[9,51,69,107,112,122,128,163],"achieve":[10],"high-quality":[11],"saliency":[12],"prediction":[13],"by":[14],"exploiting":[15],"the":[16,66,129,179],"complementary":[17],"information":[18],"of":[19,95,184],"visible":[20],"thermal":[22,78,125,151],"image":[23,41,54,79,152],"pairs,":[24,42],"which":[25,43],"are":[26,36,44],"initially":[27,74],"captured":[28,75,155],"in":[29],"an":[30,100,117],"unaligned":[31,53,113,176],"manner.":[32],"However,":[33],"existing":[34],"methods":[35,50],"tailored":[37],"for":[38,73,133],"manually":[39],"aligned":[40,174],"labor-intensive,":[45],"directly":[47,154],"applying":[48],"these":[49],"original":[52],"pairs":[55,80,153],"could":[56],"significantly":[57],"degrade":[58],"their":[59],"performance.":[60],"In":[61,137],"this":[62],"paper,":[63],"we":[64,85,139],"make":[65],"first":[67],"attempt":[68],"address":[70],"RGBT":[71,168],"SOD":[72],"without":[81,160],"manual":[82],"alignment.":[83],"Specifically,":[84],"propose":[86],"a":[87,141],"Semantics-guided":[88],"Asymmetric":[89],"Correlation":[90],"Network":[91],"(SACNet)":[92],"that":[93],"consists":[94],"two":[96],"novel":[97],"components:":[98],"1)":[99],"asymmetric":[101],"correlation":[102],"module":[103,121],"utilizing":[104],"semantics-guided":[105],"attention":[106],"model":[108],"cross-modal":[109],"correlations":[110],"specific":[111],"salient":[114],"regions;":[115],"2)":[116],"associated":[118],"feature":[119,135],"sampling":[120],"sample":[123],"relevant":[124],"features":[126,132],"according":[127],"corresponding":[130],"multi-modal":[134],"integration.":[136],"addition,":[138],"construct":[140],"unified":[142],"benchmark":[143],"dataset":[144],"called":[145],"UVT2000,":[146],"containing":[147],"2000":[148],"from":[156],"various":[157],"real-world":[158],"scenes":[159],"any":[161],"alignment,":[162],"facilitate":[164],"research":[165],"on":[166,172],"alignment-free":[167],"SOD.":[169],"Extensive":[170],"experiments":[171],"both":[173],"datasets":[177],"demonstrate":[178],"effectiveness":[180],"superior":[182],"performance":[183],"our":[185],"method.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}