{"id":"https://openalex.org/W2945674360","doi":"https://doi.org/10.1109/access.2019.2917152","title":"A Survey of Object Co-Segmentation","display_name":"A Survey of Object Co-Segmentation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2945674360","doi":"https://doi.org/10.1109/access.2019.2917152","mag":"2945674360"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2917152","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2917152","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08715354.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08715354.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086058000","display_name":"Zhoumin Lu","orcid":"https://orcid.org/0000-0002-3056-5622"},"institutions":[{"id":"https://openalex.org/I4210142126","display_name":"Jiangsu Provincial Key Laboratory of Network and Information Security","ror":"https://ror.org/03jan5912","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhoumin Lu","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3056-5622","affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou, China","institution_ids":["https://openalex.org/I4210142126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002843632","display_name":"Haiping Xu","orcid":"https://orcid.org/0000-0002-6003-1752"},"institutions":[{"id":"https://openalex.org/I354108","display_name":"Minjiang University","ror":"https://ror.org/00s7tkw17","country_code":"CN","type":"education","lineage":["https://openalex.org/I354108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiping Xu","raw_affiliation_strings":["College of Mathematics and Data Science, Minjiang University, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Data Science, Minjiang University, Fuzhou, China","institution_ids":["https://openalex.org/I354108"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045753829","display_name":"Genggeng Liu","orcid":"https://orcid.org/0000-0002-3099-4371"},"institutions":[{"id":"https://openalex.org/I4210142126","display_name":"Jiangsu Provincial Key Laboratory of Network and Information Security","ror":"https://ror.org/03jan5912","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Genggeng Liu","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou, China","institution_ids":["https://openalex.org/I4210142126"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7118,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.74653188,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"62875","last_page":"62893"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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/T11605","display_name":"Visual Attention and Saliency Detection","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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9969000220298767,"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":0.6226137280464172},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4962385296821594},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4848369359970093},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4584469497203827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39972788095474243}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6226137280464172},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4962385296821594},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4848369359970093},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4584469497203827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39972788095474243}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2917152","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2917152","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08715354.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d37dc83dea564f58b6076c97c948fd16","is_oa":true,"landing_page_url":"https://doaj.org/article/d37dc83dea564f58b6076c97c948fd16","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 62875-62893 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2917152","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2917152","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08715354.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6473159765","display_name":null,"funder_award_id":"61877010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8080904040","display_name":null,"funder_award_id":"11501114","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2945674360.pdf","grobid_xml":"https://content.openalex.org/works/W2945674360.grobid-xml"},"referenced_works_count":94,"referenced_works":["https://openalex.org/W4554164","https://openalex.org/W59822220","https://openalex.org/W79139011","https://openalex.org/W1230023165","https://openalex.org/W1555385401","https://openalex.org/W1566135517","https://openalex.org/W1567665801","https://openalex.org/W1635155787","https://openalex.org/W1688704361","https://openalex.org/W1808966389","https://openalex.org/W1950788856","https://openalex.org/W1964884769","https://openalex.org/W1973312669","https://openalex.org/W1984034752","https://openalex.org/W1986555171","https://openalex.org/W1993120651","https://openalex.org/W1996140089","https://openalex.org/W1996199732","https://openalex.org/W2000569680","https://openalex.org/W2003343330","https://openalex.org/W2004926197","https://openalex.org/W2028590536","https://openalex.org/W2029430517","https://openalex.org/W2037954058","https://openalex.org/W2039313011","https://openalex.org/W2062385571","https://openalex.org/W2062476614","https://openalex.org/W2065370776","https://openalex.org/W2069533927","https://openalex.org/W2079930597","https://openalex.org/W2084321024","https://openalex.org/W2087570216","https://openalex.org/W2090518410","https://openalex.org/W2095995158","https://openalex.org/W2099673295","https://openalex.org/W2102181413","https://openalex.org/W2106471914","https://openalex.org/W2110158442","https://openalex.org/W2110370288","https://openalex.org/W2110475589","https://openalex.org/W2112553126","https://openalex.org/W2113089599","https://openalex.org/W2116046277","https://openalex.org/W2117132237","https://openalex.org/W2118246710","https://openalex.org/W2118802082","https://openalex.org/W2121189958","https://openalex.org/W2121604810","https://openalex.org/W2121927366","https://openalex.org/W2124351162","https://openalex.org/W2124666548","https://openalex.org/W2128715914","https://openalex.org/W2129260071","https://openalex.org/W2131846894","https://openalex.org/W2133059825","https://openalex.org/W2134529554","https://openalex.org/W2137592810","https://openalex.org/W2138232383","https://openalex.org/W2141303268","https://openalex.org/W2141729166","https://openalex.org/W2150145411","https://openalex.org/W2152144380","https://openalex.org/W2153404544","https://openalex.org/W2153760331","https://openalex.org/W2157244733","https://openalex.org/W2157575450","https://openalex.org/W2160812203","https://openalex.org/W2160847065","https://openalex.org/W2165414070","https://openalex.org/W2171323859","https://openalex.org/W2179146407","https://openalex.org/W2212714315","https://openalex.org/W2291131383","https://openalex.org/W2295160225","https://openalex.org/W2295401494","https://openalex.org/W2336204952","https://openalex.org/W2337429362","https://openalex.org/W2402301573","https://openalex.org/W2415053570","https://openalex.org/W2468480815","https://openalex.org/W2553107651","https://openalex.org/W2556658669","https://openalex.org/W2747199123","https://openalex.org/W2750988638","https://openalex.org/W2891177538","https://openalex.org/W4244030505","https://openalex.org/W6634043687","https://openalex.org/W6640754710","https://openalex.org/W6646763647","https://openalex.org/W6671518220","https://openalex.org/W6678200344","https://openalex.org/W6682265384","https://openalex.org/W6683327970","https://openalex.org/W6696456932"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"It":[0],"is":[1,7,38,48],"widely":[2],"acknowledged":[3],"that":[4],"object":[5,112,131,140],"segmentation":[6,36],"a":[8,16,53,87,166],"significant":[9],"research":[10],"field":[11],"for":[12,19,241],"computer":[13],"vision":[14],"and":[15,59,138,150,177,182,194,205,213,224,235,237],"key":[17],"process":[18],"many":[20,127],"other":[21,99],"visual":[22],"tasks.":[23],"In":[24,41],"the":[25,35,42,63,71,78,98,103,111,121,190,217,226,233,245],"past":[26],"unsupervised":[27],"single-image":[28,45],"segmentation,":[29,46],"there":[30],"are":[31],"often":[32],"cases":[33],"where":[34],"result":[37],"not":[39,83,185],"good.":[40],"current":[43],"supervised":[44],"it":[47,81,101],"necessary":[49],"to":[50,68,85,93,108,130,162,175,222],"rely":[51],"on":[52,169],"large":[54,88],"number":[55],"of":[56,62,90,192],"data":[57,92],"annotations":[58],"long-term":[60],"training":[61],"model.":[64],"Then,":[65],"people":[66],"attempted":[67],"segment":[69],"simultaneously":[70],"common":[72],"regions":[73],"from":[74],"multiple":[75],"images.":[76],"On":[77,97],"one":[79,123],"hand,":[80,100],"does":[82],"need":[84],"use":[86],"amount":[89],"labeled":[91],"train":[94],"in":[95,126,173,189,244],"advance.":[96],"utilizes":[102],"consistency":[104,211],"constraint":[105],"between":[106],"images":[107],"better":[109,118],"obtain":[110],"information.":[113],"This":[114,133],"idea":[115],"can":[116],"generate":[117],"performance":[119,201],"than":[120],"traditional":[122],"did,":[124],"resulting":[125],"methods":[128,180,204],"related":[129,160],"co-segmentation.":[132],"paper":[134],"reviews":[135],"some":[136],"classic":[137],"effective":[139],"co-segmentation":[141],"methods,":[142,154],"including":[143],"saliency-based":[144],"approaches,":[145,147,149],"joint-processing-based":[146],"graph-based":[148],"others.":[151],"For":[152],"different":[153],"we":[155,184,219,230],"select":[156],"two":[157],"or":[158],"three":[159],"models":[161],"elaborate,":[163],"such":[164,208],"as":[165,209],"model":[167],"based":[168],"random":[170],"walks.":[171],"Moreover,":[172],"order":[174],"exhibit":[176],"evaluate":[178],"these":[179],"objectively":[181],"comprehensively,":[183],"only":[186],"summarize":[187],"them":[188],"form":[191],"flowcharts":[193],"algorithm":[195],"summaries,":[196],"but":[197],"also":[198,220],"compare":[199],"their":[200],"with":[202],"visualization":[203],"evaluation":[206],"metrics,":[207],"intersection-over-union,":[210],"error,":[212],"precision-recall":[214],"rate.":[215],"From":[216],"experiment,":[218],"attempt":[221],"clarify":[223],"analyze":[225],"existing":[227],"problems.":[228],"Finally,":[229],"point":[231],"out":[232],"challenges":[234],"directions":[236],"open":[238],"new":[239],"venues":[240],"future":[242],"researchers":[243],"field.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}