{"id":"https://openalex.org/W4386598382","doi":"https://doi.org/10.1109/icip49359.2023.10222404","title":"Feature Enhancement and Fusion for RGB-T Salient Object Detection","display_name":"Feature Enhancement and Fusion for RGB-T Salient Object Detection","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386598382","doi":"https://doi.org/10.1109/icip49359.2023.10222404"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222404","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5054534727","display_name":"Fengming Sun","orcid":"https://orcid.org/0000-0003-3063-8980"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengming Sun","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Computer Science and Engineering","School of Computer Science and Engineering, Nanjing University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Computer Science and Engineering","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432218","display_name":"Kang Zhang","orcid":"https://orcid.org/0000-0001-8096-0914"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Zhang","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Computer Science and Engineering","School of Computer Science and Engineering, Nanjing University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Computer Science and Engineering","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100631950","display_name":"Xia Yuan","orcid":"https://orcid.org/0000-0002-7271-0058"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Yuan","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Computer Science and Engineering","School of Computer Science and Engineering, Nanjing University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Computer Science and Engineering","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063775559","display_name":"Chunxia Zhao","orcid":"https://orcid.org/0000-0001-5430-6839"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunxia Zhao","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Computer Science and Engineering","School of Computer Science and Engineering, Nanjing University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Computer Science and Engineering","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1300","last_page":"1304"},"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":0.9624999761581421,"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/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.9527000188827515,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7288864254951477},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7139314413070679},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7089968919754028},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6946442127227783},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6311579346656799},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.599808394908905},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5757706165313721},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5738710165023804},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5615594983100891},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5288485288619995},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5163185000419617},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49930262565612793},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46242421865463257},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4229086637496948}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7288864254951477},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7139314413070679},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7089968919754028},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6946442127227783},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6311579346656799},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.599808394908905},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5757706165313721},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5738710165023804},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5615594983100891},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5288485288619995},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5163185000419617},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49930262565612793},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46242421865463257},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4229086637496948},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222404","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2887486131","https://openalex.org/W2945809413","https://openalex.org/W2963420686","https://openalex.org/W2963529609","https://openalex.org/W2963868681","https://openalex.org/W3039479109","https://openalex.org/W3138516171","https://openalex.org/W3159018159","https://openalex.org/W3164802490","https://openalex.org/W3166092877","https://openalex.org/W3171757599","https://openalex.org/W3185043317","https://openalex.org/W3188963955","https://openalex.org/W3207804100","https://openalex.org/W3212645988","https://openalex.org/W4285267224","https://openalex.org/W4293731746","https://openalex.org/W4306632395","https://openalex.org/W4307771365","https://openalex.org/W4312699294","https://openalex.org/W4315606099"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2040545019","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W2916925572"],"abstract_inverted_index":{"Cross-modal":[0],"information":[1,42],"fusion":[2,98],"plays":[3],"a":[4,66,78,88],"vital":[5],"role":[6],"in":[7,102],"the":[8,23,29,44,47,74,96,103,114],"RGB-T":[9,48],"salient":[10,124],"object":[11,125],"detection.":[12],"Due":[13],"to":[14,28,37,46,94],"RGB":[15],"and":[16,39,59],"thermal":[17],"images":[18],"come":[19],"from":[20],"different":[21],"domains,":[22],"modality":[24,80],"difference":[25],"will":[26],"lead":[27],"unsatisfactory":[30],"effect":[31],"of":[32,77,99,105],"simple":[33],"feature":[34,75],"fusion.":[35],"How":[36],"explore":[38],"integrate":[40,73],"useful":[41],"is":[43],"key":[45],"saliency":[49],"detection":[50,126],"methods.":[51],"In":[52,62],"this":[53],"paper,":[54],"we":[55,64,86],"introduce":[56],"an":[57],"Enhancement":[58,69],"Fusion":[60,92],"Network.":[61],"detail,":[63],"propose":[65,87],"Self-modality":[67],"Feature":[68,90],"Module":[70,93],"that":[71,113],"effectively":[72],"representation":[76],"single":[79],"through":[81],"global":[82],"context":[83],"information.":[84],"And":[85],"Cross-modality":[89],"Dynamic":[91],"realize":[95],"effective":[97],"cross-modal":[100],"features":[101],"way":[104],"dynamic":[106],"weighting.":[107],"Experiments":[108],"on":[109],"public":[110],"datasets":[111],"show":[112],"proposed":[115],"method":[116],"achieves":[117],"satisfactory":[118],"results":[119],"compared":[120],"with":[121],"other":[122],"state-of-the-art":[123],"approaches.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}