{"id":"https://openalex.org/W2529603763","doi":"https://doi.org/10.1109/lsp.2016.2615293","title":"RGBD Co-saliency Detection via Bagging-Based Clustering","display_name":"RGBD Co-saliency Detection via Bagging-Based Clustering","publication_year":2016,"publication_date":"2016-10-04","ids":{"openalex":"https://openalex.org/W2529603763","doi":"https://doi.org/10.1109/lsp.2016.2615293","mag":"2529603763"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2016.2615293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2016.2615293","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5110524169","display_name":"Hangke Song","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hangke Song","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382312","display_name":"Zhi Liu","orcid":"https://orcid.org/0000-0002-8428-1131"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Liu","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085134010","display_name":"Yufeng Xie","orcid":"https://orcid.org/0000-0001-9602-0003"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufeng Xie","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076192736","display_name":"Lishan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lishan Wu","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057447109","display_name":"Mengke Huang","orcid":"https://orcid.org/0000-0002-3519-1068"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengke Huang","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110524169"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":4.0081,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.96078004,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"23","issue":"12","first_page":"1722","last_page":"1726"},"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":0.9592999815940857,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9521999955177307,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8234561681747437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.743628978729248},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6833065748214722},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6570727229118347},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5518525242805481},{"id":"https://openalex.org/keywords/kadir\u2013brady-saliency-detector","display_name":"Kadir\u2013Brady saliency detector","score":0.547904908657074},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.538892924785614},{"id":"https://openalex.org/keywords/saliency-map","display_name":"Saliency map","score":0.5268971920013428},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5187047123908997},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4862712621688843},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4824250638484955},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46934616565704346},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4571509063243866},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39789044857025146},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.38854146003723145}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8234561681747437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.743628978729248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6833065748214722},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6570727229118347},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5518525242805481},{"id":"https://openalex.org/C202227193","wikidata":"https://www.wikidata.org/wiki/Q6345568","display_name":"Kadir\u2013Brady saliency detector","level":4,"score":0.547904908657074},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.538892924785614},{"id":"https://openalex.org/C2779679900","wikidata":"https://www.wikidata.org/wiki/Q25304431","display_name":"Saliency map","level":3,"score":0.5268971920013428},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5187047123908997},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4862712621688843},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4824250638484955},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46934616565704346},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4571509063243866},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39789044857025146},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.38854146003723145},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2016.2615293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2016.2615293","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3068553857","display_name":null,"funder_award_id":"61171144","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G481276562","display_name":null,"funder_award_id":"61471230","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336023","display_name":"Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W933200379","https://openalex.org/W1484228140","https://openalex.org/W1497443722","https://openalex.org/W1522318187","https://openalex.org/W1586994488","https://openalex.org/W1903001680","https://openalex.org/W1919681008","https://openalex.org/W1919709169","https://openalex.org/W1932188298","https://openalex.org/W1986811142","https://openalex.org/W1992992668","https://openalex.org/W2007685793","https://openalex.org/W2020477327","https://openalex.org/W2036973297","https://openalex.org/W2037183649","https://openalex.org/W2037954058","https://openalex.org/W2110158442","https://openalex.org/W2112553126","https://openalex.org/W2113076747","https://openalex.org/W2127218421","https://openalex.org/W2128272608","https://openalex.org/W2133059825","https://openalex.org/W2143485206","https://openalex.org/W2161185676","https://openalex.org/W2161969291","https://openalex.org/W2169632643","https://openalex.org/W2399628449","https://openalex.org/W2403333215","https://openalex.org/W4239147634","https://openalex.org/W6678914141","https://openalex.org/W6681332349"],"related_works":["https://openalex.org/W2805433183","https://openalex.org/W2001667162","https://openalex.org/W2575602754","https://openalex.org/W1978345117","https://openalex.org/W2351778949","https://openalex.org/W1967391339","https://openalex.org/W3009179364","https://openalex.org/W1510463930","https://openalex.org/W2381059340","https://openalex.org/W2145475630"],"abstract_inverted_index":{"With":[0],"the":[1,21,70,83,99,104,121,127],"additional":[2],"depth":[3],"information,":[4],"RGBD":[5,29,36,50,116],"co-saliency":[6,37,86,101,106,117,123,129],"detection,":[7,17],"which":[8],"is":[9,74,94],"an":[10],"emerging":[11],"and":[12,54,82],"interesting":[13],"issue":[14],"in":[15,25,58],"saliency":[16,52],"aims":[18],"to":[19,60,66,76,96],"discover":[20],"common":[22],"salient":[23],"objects":[24],"a":[26,34,89,114],"set":[27],"of":[28],"images.":[30],"This":[31],"letter":[32],"proposes":[33],"novel":[35],"model":[38,124],"using":[39],"bagging-based":[40],"clustering.":[41],"First,":[42],"candidate":[43],"object":[44],"regions":[45],"are":[46],"generated":[47],"based":[48],"on":[49,113],"single":[51],"maps":[53,102],"region":[55],"pre-segmentation.":[56],"Then,":[57],"order":[59],"make":[61],"regional":[62],"clustering":[63,80,90],"more":[64],"robust":[65],"different":[67],"image":[68],"sets,":[69],"feature":[71],"bagging":[72],"method":[73],"introduced":[75],"randomly":[77],"generate":[78],"multiple":[79],"results":[81,112],"cluster-level":[84],"weak":[85,100],"maps.":[87],"Finally,":[88],"quality":[91],"(CQ)":[92],"criterion":[93],"devised":[95],"adaptively":[97],"integrate":[98],"into":[103],"final":[105],"map":[107],"for":[108],"each":[109],"image.":[110],"Experimental":[111],"public":[115],"dataset":[118],"show":[119],"that":[120],"proposed":[122],"significantly":[125],"outperforms":[126],"state-of-the-art":[128],"models.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}