{"id":"https://openalex.org/W2086052791","doi":"https://doi.org/10.1109/cvpr.2010.5539868","title":"Discriminative clustering for image co-segmentation","display_name":"Discriminative clustering for image co-segmentation","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2086052791","doi":"https://doi.org/10.1109/cvpr.2010.5539868","mag":"2086052791"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2010.5539868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5539868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-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/A5107859338","display_name":"Armand Joulin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162280","display_name":"Laboratoire de G\u00e9ologie de l\u2019\u00c9cole Normale Sup\u00e9rieure","ror":"https://ror.org/05vg9cw43","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2746051580","https://openalex.org/I29607241","https://openalex.org/I4210148025","https://openalex.org/I4210162280"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Armand Joulin","raw_affiliation_strings":["Ecole Normale Sup\u00e8rieure, Paris, France","INRIA, Paris, France"],"affiliations":[{"raw_affiliation_string":"Ecole Normale Sup\u00e8rieure, Paris, France","institution_ids":["https://openalex.org/I4210162280"]},{"raw_affiliation_string":"INRIA, Paris, France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001483226","display_name":"Francis Bach","orcid":"https://orcid.org/0000-0001-8644-1058"},"institutions":[{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Francis Bach","raw_affiliation_strings":["INRIA, Paris, France","Laboratoire d'Informatique de l'Ecole Normale Sup\u00e9rieure, ENS/INRIA/CNRS UMR 8548, France"],"affiliations":[{"raw_affiliation_string":"INRIA, Paris, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Laboratoire d'Informatique de l'Ecole Normale Sup\u00e9rieure, ENS/INRIA/CNRS UMR 8548, France","institution_ids":["https://openalex.org/I29607241","https://openalex.org/I1326498283","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111964058","display_name":"Jean Ponce","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162280","display_name":"Laboratoire de G\u00e9ologie de l\u2019\u00c9cole Normale Sup\u00e9rieure","ror":"https://ror.org/05vg9cw43","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2746051580","https://openalex.org/I29607241","https://openalex.org/I4210148025","https://openalex.org/I4210162280"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean Ponce","raw_affiliation_strings":["Ecole Normale Sup\u00e8rieure, Paris, France"],"affiliations":[{"raw_affiliation_string":"Ecole Normale Sup\u00e8rieure, Paris, France","institution_ids":["https://openalex.org/I4210162280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5107859338"],"corresponding_institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210162280"],"apc_list":null,"apc_paid":null,"fwci":28.446,"has_fulltext":false,"cited_by_count":440,"citation_normalized_percentile":{"value":0.99781128,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1943","last_page":"1950"},"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9984999895095825,"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":0.996999979019165,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7952175736427307},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7404645681381226},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6950051784515381},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6844234466552734},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6642217636108398},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6458961367607117},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6044315099716187},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5640093684196472},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5467629432678223},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4731648564338684},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.469009131193161},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4347197711467743},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4195810854434967},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4173322319984436},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2237999141216278},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.06586265563964844}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7952175736427307},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7404645681381226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6950051784515381},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6844234466552734},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6642217636108398},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6458961367607117},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6044315099716187},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5640093684196472},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5467629432678223},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4731648564338684},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.469009131193161},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4347197711467743},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4195810854434967},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4173322319984436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2237999141216278},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.06586265563964844},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2010.5539868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5539868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.205.8594","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.8594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.di.ens.fr/%7Efbach/cosegmentation_cvpr2010.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1510073064","https://openalex.org/W1601119822","https://openalex.org/W1804110266","https://openalex.org/W1985123706","https://openalex.org/W1999478155","https://openalex.org/W2009685382","https://openalex.org/W2097323414","https://openalex.org/W2101309634","https://openalex.org/W2108282816","https://openalex.org/W2112020727","https://openalex.org/W2112301665","https://openalex.org/W2112343299","https://openalex.org/W2117198760","https://openalex.org/W2118802082","https://openalex.org/W2121947440","https://openalex.org/W2124351162","https://openalex.org/W2124386111","https://openalex.org/W2132820034","https://openalex.org/W2134529554","https://openalex.org/W2143516773","https://openalex.org/W2157244733","https://openalex.org/W2296319761","https://openalex.org/W2535977253","https://openalex.org/W2798766386","https://openalex.org/W3104868958","https://openalex.org/W4205293427","https://openalex.org/W4235178178","https://openalex.org/W6676060660","https://openalex.org/W6677945368","https://openalex.org/W6679854563","https://openalex.org/W6683228778","https://openalex.org/W6750230808","https://openalex.org/W6966458460"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W4205800335","https://openalex.org/W2371519352","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2901890255"],"abstract_inverted_index":{"Purely":[0],"bottom-up,":[1],"unsupervised":[2],"segmentation":[3,47],"of":[4,24,63,96,127],"a":[5,14,68,85,104,112],"single":[6],"image":[7,46],"into":[8,29],"foreground":[9,139],"and":[10],"background":[11],"regions":[12,30],"remains":[13],"challenging":[15,146],"task":[16],"for":[17,44,123],"computer":[18],"vision.":[19],"Co-segmentation":[20],"is":[21,74,109],"the":[22,72,97,131],"problem":[23,107],"simultaneously":[25],"dividing":[26],"multiple":[27],"images":[28,135],"(segments)":[31],"corresponding":[32],"to":[33,75,80,93,111,125],"different":[34],"object":[35,58],"classes.":[36,99],"In":[37,100],"this":[38],"paper,":[39],"we":[40,102],"combine":[41],"existing":[42],"tools":[43],"bottom-up":[45],"such":[48],"as":[49,141,143],"normalized":[50],"cuts,":[51],"with":[52,89,136,148,150],"kernel":[53],"methods":[54],"commonly":[55],"used":[56,66],"in":[57],"recognition.":[59],"These":[60],"two":[61,98],"sets":[62],"techniques":[64],"are":[65],"within":[67],"discriminative":[69],"clustering":[70],"framework:":[71],"goal":[73],"assign":[76],"foreground/background":[77],"labels":[78,91],"jointly":[79],"all":[81],"images,":[82],"so":[83],"that":[84,117],"supervised":[86],"classifier":[87],"trained":[88],"these":[90],"leads":[92],"maximal":[94],"separation":[95],"practice,":[101],"obtain":[103],"combinatorial":[105],"optimization":[106,115],"which":[108],"relaxed":[110],"continuous":[113],"convex":[114],"problem,":[116],"can":[118],"itself":[119],"be":[120],"solved":[121],"efficiently":[122],"up":[124],"dozens":[126],"images.":[128],"We":[129],"illustrate":[130],"proposed":[132],"method":[133],"on":[134,144],"very":[137],"similar":[138],"objects,":[140],"well":[142],"more":[145],"problems":[147],"objects":[149],"higher":[151],"intra-class":[152],"variations.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":28},{"year":2019,"cited_by_count":36},{"year":2018,"cited_by_count":41},{"year":2017,"cited_by_count":45},{"year":2016,"cited_by_count":61},{"year":2015,"cited_by_count":53},{"year":2014,"cited_by_count":42},{"year":2013,"cited_by_count":36},{"year":2012,"cited_by_count":25}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}