{"id":"https://openalex.org/W2940205150","doi":"https://doi.org/10.1109/tkde.2019.2911942","title":"Image Co-Segmentation via Locally Biased Discriminative Clustering","display_name":"Image Co-Segmentation via Locally Biased Discriminative Clustering","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2940205150","doi":"https://doi.org/10.1109/tkde.2019.2911942","mag":"2940205150"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2019.2911942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2911942","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5055724459","display_name":"Xianpeng Liang","orcid":"https://orcid.org/0000-0002-7938-8698"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianpeng Liang","raw_affiliation_strings":["Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7938-8698","affiliations":[{"raw_affiliation_string":"Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087166824","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-6818-1886"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113558338","display_name":"De-Shuang Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"De-Shuang Huang","raw_affiliation_strings":["Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055724459"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.8169,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.7676083,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"31","issue":"11","first_page":"2228","last_page":"2233"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9979000091552734,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9898999929428101,"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/discriminative-model","display_name":"Discriminative model","score":0.8449535369873047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7850658297538757},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7439842224121094},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7243553400039673},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7027002573013306},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6927359700202942},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.6470262408256531},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6316495537757874},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6036747097969055},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.504463791847229},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33435189723968506}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8449535369873047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7850658297538757},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7439842224121094},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7243553400039673},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7027002573013306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6927359700202942},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.6470262408256531},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6316495537757874},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6036747097969055},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.504463791847229},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33435189723968506}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2019.2911942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2911942","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1596993240","display_name":null,"funder_award_id":"61772370","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1851553357","display_name":null,"funder_award_id":"61873270","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3263865980","display_name":null,"funder_award_id":"61520106006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G331170790","display_name":null,"funder_award_id":"61572447","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G344637341","display_name":null,"funder_award_id":"61772357","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3686096675","display_name":null,"funder_award_id":"31571364","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G710220644","display_name":null,"funder_award_id":"61672382","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7352770851","display_name":null,"funder_award_id":"2017M611619","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G74711194","display_name":null,"funder_award_id":"61732012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8031058355","display_name":null,"funder_award_id":"61861146002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8417010444","display_name":null,"funder_award_id":"61672203","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1534510265","https://openalex.org/W1919681008","https://openalex.org/W1948950045","https://openalex.org/W1964884769","https://openalex.org/W1970899458","https://openalex.org/W1992992668","https://openalex.org/W1995725586","https://openalex.org/W1996140089","https://openalex.org/W2010376469","https://openalex.org/W2022432523","https://openalex.org/W2022872382","https://openalex.org/W2028590536","https://openalex.org/W2035784046","https://openalex.org/W2086052791","https://openalex.org/W2087100776","https://openalex.org/W2110370288","https://openalex.org/W2118246710","https://openalex.org/W2132820034","https://openalex.org/W2153760331","https://openalex.org/W2157244733","https://openalex.org/W2160812203","https://openalex.org/W2161185676","https://openalex.org/W2164918853","https://openalex.org/W2295160225","https://openalex.org/W2295326880","https://openalex.org/W2358876993","https://openalex.org/W2415053570","https://openalex.org/W2468480815","https://openalex.org/W2519936666","https://openalex.org/W2740660291","https://openalex.org/W2773771410","https://openalex.org/W2963032190","https://openalex.org/W2963299740","https://openalex.org/W6642933618","https://openalex.org/W6679854563"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2785294226","https://openalex.org/W1999008862","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2551987074"],"abstract_inverted_index":{"Object":[0],"co-segmentation":[1,20,28,68],"aims":[2],"at":[3],"simultaneously":[4],"extracting":[5],"common":[6,74,88,93,129,158],"objects":[7,89,94,130,159],"appeared":[8],"in":[9,22],"multiple":[10],"images.":[11],"In":[12,62,137],"this":[13,59,121],"paper,":[14],"we":[15,24,37,77,139,146,166],"propose":[16],"a":[17,30,39,43,79,141],"novel":[18],"object":[19],"method":[21,85,170,186],"which":[23],"formulate":[25],"the":[26,47,54,67,100,106,111,118,123,149,157,162,168,184],"image":[27],"as":[29,105],"locally":[31],"biased":[32,114],"discriminative":[33,50,101,153],"clustering":[34,51,102,154],"problem.":[35],"Specifically,":[36],"add":[38],"seed":[40,60,107],"vector":[41,108],"and":[42,103,131,135,152,161,177],"constraint":[44],"term":[45],"into":[46,99],"framework":[48],"of":[49,73,120],"to":[52,58,64,86,109,115,155],"constrain":[53,110],"segmentation":[55,112,124,143,163],"result":[56,113,125],"bias":[57],"vector.":[61],"order":[63],"deal":[65],"with":[66,70],"problem":[69],"indefinite":[71],"number":[72],"foreground":[75],"objects,":[76],"design":[78],"Markov":[80],"Random":[81],"Field":[82],"(MRF)":[83],"based":[84],"extract":[87],"prior.":[90],"The":[91,179],"extracted":[92],"prior":[95,160],"is":[96],"then":[97],"added":[98],"treated":[104],"it.":[116],"Under":[117],"supervision":[119],"prior,":[122],"can":[126],"find":[127],"more":[128,133],"becomes":[132],"complete":[134],"meaningful.":[136],"addition,":[138],"present":[140],"new":[142],"process":[144],"where":[145],"alternately":[147],"update":[148],"MRF-based":[150],"model":[151],"refine":[156],"result.":[164],"Finally,":[165],"test":[167],"proposed":[169,185],"on":[171],"three":[172],"benchmark":[173],"datasets,":[174],"iCoseg,":[175],"Coseg-Rep,":[176],"THUR15K.":[178],"experimental":[180],"results":[181],"demonstrate":[182],"that":[183],"outperforms":[187],"other":[188],"state-of-the-art":[189],"methods.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
