{"id":"https://openalex.org/W4394597830","doi":"https://doi.org/10.1109/crc60659.2023.10488513","title":"Joint Contrastive Learning for Image Clustering","display_name":"Joint Contrastive Learning for Image Clustering","publication_year":2024,"publication_date":"2024-04-09","ids":{"openalex":"https://openalex.org/W4394597830","doi":"https://doi.org/10.1109/crc60659.2023.10488513"},"language":"en","primary_location":{"id":"doi:10.1109/crc60659.2023.10488513","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/crc60659.2023.10488513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 8th International Conference on Control, Robotics and Cybernetics (CRC)","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/A5101287097","display_name":"Yuxuan Yan","orcid":"https://orcid.org/0009-0004-4789-1645"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuxuan Yan","raw_affiliation_strings":["Xi&#x2019;an Jiaotong University,Systems Engineering Institute,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong University,Systems Engineering Institute,Xi'an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778313","display_name":"Na L\u00fc","orcid":"https://orcid.org/0000-0002-7436-2691"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Na","raw_affiliation_strings":["Xi&#x2019;an Jiaotong University,Systems Engineering Institute,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong University,Systems Engineering Institute,Xi'an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084536418","display_name":"Ruofan Yan","orcid":"https://orcid.org/0009-0003-6831-5906"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruofan Yan","raw_affiliation_strings":["Xi&#x2019;an Jiaotong University,Systems Engineering Institute,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong University,Systems Engineering Institute,Xi'an,China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101287097"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03969114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"310","last_page":"314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.8927000164985657,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.8927000164985657,"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/T10057","display_name":"Face and Expression Recognition","score":0.8353999853134155,"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":0.7219660878181458},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6845202445983887},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6728310585021973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6229215860366821},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3688755929470062},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3585030734539032},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09468764066696167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7219660878181458},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6845202445983887},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6728310585021973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6229215860366821},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3688755929470062},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3585030734539032},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09468764066696167},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/crc60659.2023.10488513","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/crc60659.2023.10488513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 8th International Conference on Control, Robotics and Cybernetics (CRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2299467264","https://openalex.org/W2779692282","https://openalex.org/W2842511635","https://openalex.org/W3005680577","https://openalex.org/W3034363127","https://openalex.org/W3035524453","https://openalex.org/W3035682985","https://openalex.org/W3087124270","https://openalex.org/W3100859887","https://openalex.org/W3110446398","https://openalex.org/W4214510096","https://openalex.org/W4297808394","https://openalex.org/W4307092192","https://openalex.org/W4388200483","https://openalex.org/W6631190155","https://openalex.org/W6678914141","https://openalex.org/W6685380521","https://openalex.org/W6778102432","https://openalex.org/W6779977557","https://openalex.org/W6791237183"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","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":{"Recent":[0],"advances":[1],"in":[2,33,51,110],"contrastive":[3,36,61,116,123,141],"learning":[4,62],"promote":[5],"the":[6,17,34,40,76,103,121,128,147,160,173],"research":[7],"of":[8,44,72,118,131],"many":[9],"downstream":[10],"tasks,":[11],"especially":[12],"deep":[13,132,140],"clustering,":[14],"which":[15],"explores":[16],"potential":[18],"semantic":[19,42,48,70,105],"connections":[20],"for":[21],"unlabeled":[22],"samples.":[23],"However,":[24],"these":[25],"contrastive-based":[26],"clustering":[27,67,142,157,167],"methods":[28],"focus":[29],"on":[30,164],"positive":[31,148],"pairs":[32,74,101,151],"pairwise":[35],"framework":[37],"and":[38,86,125,149,152,156],"ignore":[39],"latent":[41,83],"relations":[43],"negative":[45,73,100,150],"pairs,":[46],"causing":[47],"information":[49,106],"distortion":[50],"embedding":[52,78,111],"space.":[53,79,112],"In":[54],"this":[55],"paper,":[56],"we":[57],"propose":[58],"joint":[59,115],"distribution":[60],"(JCL),":[63],"an":[64],"unsupervised":[65],"image":[66,166],"method":[68,143],"encoding":[69],"structures":[71],"into":[75],"learned":[77],"Specifically,":[80],"JCL":[81,119,134,170],"introduces":[82],"class":[84,94],"variables":[85],"model":[87],"discrimination":[88],"task":[89],"as":[90,127],"a":[91,136],"maximum":[92],"average":[93],"conditional":[95],"likelihood":[96],"estimation":[97],"to":[98,107,158],"encourage":[99],"with":[102],"same":[104],"be":[108],"closer":[109],"The":[113],"proposed":[114],"loss":[117,124],"is":[120,135],"negative-wise":[122],"serves":[126],"objective":[129],"function":[130],"clustering.":[133],"simple":[137],"end-to-end":[138],"online":[139],"that":[144],"jointly":[145],"exploits":[146],"synchronously":[153],"learns":[154],"representation":[155],"optimize":[159],"network.":[161],"Extensive":[162],"experiments":[163],"moderate-scale":[165],"benchmarks":[168],"demonstrate":[169],"remarkably":[171],"outperforms":[172],"state-of-the-art":[174],"methods.":[175]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
