{"id":"https://openalex.org/W4211256032","doi":"https://doi.org/10.1109/tcsvt.2022.3150923","title":"Re-Thinking the Relations in Co-Saliency Detection","display_name":"Re-Thinking the Relations in Co-Saliency Detection","publication_year":2022,"publication_date":"2022-02-10","ids":{"openalex":"https://openalex.org/W4211256032","doi":"https://doi.org/10.1109/tcsvt.2022.3150923"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3150923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3150923","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5101498637","display_name":"Lv Tang","orcid":"https://orcid.org/0000-0001-7359-1057"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lv Tang","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7359-1057","affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374366","display_name":"Bo Li","orcid":"https://orcid.org/0000-0001-7817-0665"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["Youtu Lab, Tencent, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Youtu Lab, Tencent, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061684974","display_name":"Senyun Kuang","orcid":"https://orcid.org/0000-0001-7565-8841"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Senyun Kuang","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7565-8841","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037738070","display_name":"Mofei Song","orcid":"https://orcid.org/0000-0002-9912-1560"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mofei Song","raw_affiliation_strings":["Key Laboratory of Computer Network and Information Integration (Ministry of Education), School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-9912-1560","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration (Ministry of Education), School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086397952","display_name":"Shouhong Ding","orcid":"https://orcid.org/0000-0002-3175-3553"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouhong Ding","raw_affiliation_strings":["Youtu Lab, Tencent, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Youtu Lab, Tencent, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6428,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.91138519,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"32","issue":"8","first_page":"5453","last_page":"5466"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9702000021934509,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.967199981212616,"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/salient","display_name":"Salient","score":0.7655562162399292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7032995820045471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6386880278587341},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5633406639099121},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5606337189674377},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5393917560577393},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.531143844127655},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5287603735923767},{"id":"https://openalex.org/keywords/spatial-relation","display_name":"Spatial relation","score":0.4859005808830261},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4699689745903015},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.43763384222984314},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4373611509799957},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3435148596763611},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33252477645874023},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.26774513721466064},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2667328119277954}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7655562162399292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7032995820045471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6386880278587341},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5633406639099121},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5606337189674377},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5393917560577393},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.531143844127655},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5287603735923767},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.4859005808830261},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4699689745903015},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.43763384222984314},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4373611509799957},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3435148596763611},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33252477645874023},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26774513721466064},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2667328119277954},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/tcsvt.2022.3150923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3150923","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8199999928474426}],"awards":[{"id":"https://openalex.org/G4530381588","display_name":null,"funder_award_id":"61906036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6973031458","display_name":null,"funder_award_id":"2242021k30056","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":107,"referenced_works":["https://openalex.org/W1772076007","https://openalex.org/W1861492603","https://openalex.org/W1964884769","https://openalex.org/W1966601141","https://openalex.org/W1992992668","https://openalex.org/W1996326832","https://openalex.org/W2037183649","https://openalex.org/W2039313011","https://openalex.org/W2054241314","https://openalex.org/W2064675550","https://openalex.org/W2065985528","https://openalex.org/W2069241582","https://openalex.org/W2101355568","https://openalex.org/W2104915577","https://openalex.org/W2112553126","https://openalex.org/W2115761837","https://openalex.org/W2127412976","https://openalex.org/W2128272608","https://openalex.org/W2132083787","https://openalex.org/W2141303268","https://openalex.org/W2153760331","https://openalex.org/W2160613239","https://openalex.org/W2179488730","https://openalex.org/W2194775991","https://openalex.org/W2342491128","https://openalex.org/W2344340558","https://openalex.org/W2358876993","https://openalex.org/W2403333215","https://openalex.org/W2518666399","https://openalex.org/W2518770889","https://openalex.org/W2560092514","https://openalex.org/W2569272946","https://openalex.org/W2605929543","https://openalex.org/W2615981376","https://openalex.org/W2740667773","https://openalex.org/W2752782242","https://openalex.org/W2789646185","https://openalex.org/W2792965491","https://openalex.org/W2793668851","https://openalex.org/W2798825526","https://openalex.org/W2923601983","https://openalex.org/W2938472358","https://openalex.org/W2943125866","https://openalex.org/W2948500402","https://openalex.org/W2952281591","https://openalex.org/W2954275231","https://openalex.org/W2961348656","https://openalex.org/W2962851329","https://openalex.org/W2963032190","https://openalex.org/W2963112696","https://openalex.org/W2963150697","https://openalex.org/W2963529609","https://openalex.org/W2963834057","https://openalex.org/W2963868681","https://openalex.org/W2963915286","https://openalex.org/W2964429685","https://openalex.org/W2965512832","https://openalex.org/W2972515477","https://openalex.org/W2972640707","https://openalex.org/W2981680738","https://openalex.org/W2982331121","https://openalex.org/W2987701848","https://openalex.org/W2990984982","https://openalex.org/W2996884277","https://openalex.org/W2997316506","https://openalex.org/W2998449272","https://openalex.org/W3010722397","https://openalex.org/W3023562424","https://openalex.org/W3034185160","https://openalex.org/W3034579518","https://openalex.org/W3035225512","https://openalex.org/W3035290198","https://openalex.org/W3035422681","https://openalex.org/W3035635522","https://openalex.org/W3035666869","https://openalex.org/W3039991645","https://openalex.org/W3096289386","https://openalex.org/W3098389804","https://openalex.org/W3107554785","https://openalex.org/W3107944836","https://openalex.org/W3109623941","https://openalex.org/W3121461812","https://openalex.org/W3123956618","https://openalex.org/W3125520697","https://openalex.org/W3157410348","https://openalex.org/W3159886901","https://openalex.org/W3173349970","https://openalex.org/W3173370190","https://openalex.org/W3174178235","https://openalex.org/W3174818523","https://openalex.org/W3202242435","https://openalex.org/W4239147634","https://openalex.org/W4298857966","https://openalex.org/W6637373629","https://openalex.org/W6637967152","https://openalex.org/W6680834391","https://openalex.org/W6683195989","https://openalex.org/W6683204974","https://openalex.org/W6692846177","https://openalex.org/W6729448088","https://openalex.org/W6751350349","https://openalex.org/W6772057793","https://openalex.org/W6780174333","https://openalex.org/W6785161788","https://openalex.org/W6785582761","https://openalex.org/W6794904954","https://openalex.org/W6799489178"],"related_works":["https://openalex.org/W4388913932","https://openalex.org/W4309130263","https://openalex.org/W1951490636","https://openalex.org/W2363753014","https://openalex.org/W2385567678","https://openalex.org/W2355121635","https://openalex.org/W1967100394","https://openalex.org/W1545923090","https://openalex.org/W2293263892","https://openalex.org/W2016995243"],"abstract_inverted_index":{"Co-salient":[0],"object":[1],"detection":[2],"(CoSOD)":[3],"aims":[4,92],"to":[5,25,80,93,117,150],"detect":[6],"common":[7],"salient":[8],"objects":[9],"sharing":[10],"the":[11,27,44,65,82,87,95,101,115,120,151],"same":[12],"attributes":[13],"in":[14,140],"an":[15,31,48],"image":[16,32,49,141],"group.":[17,33,50],"The":[18,34],"key":[19],"issue":[20],"of":[21,37,59,135],"CoSOD":[22,66],"is":[23,40],"how":[24],"model":[26,81,104],"inter-saliency":[28,61,84,106,138],"relations":[29,46,62,122,139],"within":[30,47],"major":[35],"limitation":[36],"previous":[38],"methods":[39],"that":[41,133,156],"they":[42],"pre-define":[43],"group-to-one":[45],"In":[51],"this":[52,157],"paper,":[53],"we":[54,73],"propose":[55],"a":[56,75],"new":[57],"concept":[58],"structural":[60,83,105],"and":[63],"solve":[64],"with":[67],"deep":[68],"reinforcement":[69],"learning":[70],"framework.":[71],"Firstly,":[72],"design":[74],"semantic":[76],"relation":[77,109],"graph":[78],"(SRG)":[79],"relations.":[85,107],"Then":[86],"feature":[88],"selecting":[89],"agent":[90,111],"(FS-agent)":[91],"select":[94],"informative":[96],"features,":[97],"which":[98],"can":[99,159],"help":[100],"SRG":[102,116],"effectively":[103],"Finally,":[108],"updating":[110],"(RU-agent)":[112],"progressively":[113],"updates":[114],"focus":[118],"on":[119,129],"co-salient":[121],"like":[123],"human":[124],"decision-making":[125],"process.":[126],"Extensive":[127],"experiments":[128],"co-saliency":[130],"datasets":[131],"show":[132],"because":[134],"well":[136],"modeling":[137],"group,":[142],"our":[143],"proposed":[144],"method":[145],"achieves":[146],"superior":[147],"performance":[148],"compared":[149],"state-of-the-art":[152],"methods.":[153],"We":[154],"hope":[155],"paper":[158],"motivate":[160],"future":[161],"research":[162],"for":[163],"visual":[164],"co-analysis":[165],"tasks.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
