{"id":"https://openalex.org/W4388692326","doi":"https://doi.org/10.1109/tnnls.2023.3329494","title":"Improving Image Contrastive Clustering Through Self-Learning Pairwise Constraints","display_name":"Improving Image Contrastive Clustering Through Self-Learning Pairwise Constraints","publication_year":2023,"publication_date":"2023-11-15","ids":{"openalex":"https://openalex.org/W4388692326","doi":"https://doi.org/10.1109/tnnls.2023.3329494","pmid":"https://pubmed.ncbi.nlm.nih.gov/37966927"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3329494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3329494","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.manchester.ac.uk/ws/files/281952257/Improving_Image_Contrastive_Clustering_through_Self_Learning_Pairwise_Constraints.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078217395","display_name":"Y GUO","orcid":"https://orcid.org/0009-0006-1561-2562"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yecheng Guo","raw_affiliation_strings":["Institute of Intelligent Information Processing, Shanxi University, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Information Processing, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046818326","display_name":"Liang Bai","orcid":"https://orcid.org/0000-0002-0380-2995"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Bai","raw_affiliation_strings":["Institute of Intelligent Information Processing, Shanxi University, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Information Processing, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018266083","display_name":"Xian Yang","orcid":"https://orcid.org/0000-0002-1496-8923"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xian Yang","raw_affiliation_strings":["Alliance Manchester Business School, The University of Manchester, Manchester, U.K"],"affiliations":[{"raw_affiliation_string":"Alliance Manchester Business School, The University of Manchester, Manchester, U.K","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106626932","display_name":"Jiye Liang","orcid":"https://orcid.org/0000-0001-5887-9327"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiye Liang","raw_affiliation_strings":["Institute of Intelligent Information Processing, Shanxi University, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Information Processing, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078217395"],"corresponding_institution_ids":["https://openalex.org/I181877577"],"apc_list":null,"apc_paid":null,"fwci":0.9454,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79006287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"36","issue":"1","first_page":"328","last_page":"340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9545000195503235,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9365000128746033,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.9094545245170593},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8064872026443481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7139805555343628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7061866521835327},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.543430745601654},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5262640714645386},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5233068466186523},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.505179226398468},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.501779317855835},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4222263693809509}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.9094545245170593},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8064872026443481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7139805555343628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7061866521835327},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.543430745601654},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5262640714645386},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5233068466186523},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.505179226398468},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.501779317855835},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4222263693809509},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2023.3329494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3329494","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37966927","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37966927","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/ca056eb1-f0e6-4853-b56c-1c72c89d546d","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/ca056eb1-f0e6-4853-b56c-1c72c89d546d","pdf_url":"https://pure.manchester.ac.uk/ws/files/281952257/Improving_Image_Contrastive_Clustering_through_Self_Learning_Pairwise_Constraints.pdf","source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Guo, Y, Bai, L, Yang, X & Liang, J 2023, 'Improving Image Contrastive Clustering Through Self-Learning Pairwise Constraints', IEEE Transactions on NEural Networks and Learning Systems, pp. 1-13. https://doi.org/10.1109/TNNLS.2023.3329494","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/ca056eb1-f0e6-4853-b56c-1c72c89d546d","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/ca056eb1-f0e6-4853-b56c-1c72c89d546d","pdf_url":"https://pure.manchester.ac.uk/ws/files/281952257/Improving_Image_Contrastive_Clustering_through_Self_Learning_Pairwise_Constraints.pdf","source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Guo, Y, Bai, L, Yang, X & Liang, J 2023, 'Improving Image Contrastive Clustering Through Self-Learning Pairwise Constraints', IEEE Transactions on NEural Networks and Learning Systems, pp. 1-13. https://doi.org/10.1109/TNNLS.2023.3329494","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3472539505","display_name":null,"funder_award_id":"202205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6929609165","display_name":null,"funder_award_id":"62276159","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G82823441","display_name":null,"funder_award_id":"62022052","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8513333314","display_name":null,"funder_award_id":"2021ZD01","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8672280991","display_name":null,"funder_award_id":"2021ZD0113303","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388692326.pdf","grobid_xml":"https://content.openalex.org/works/W4388692326.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2016441722","https://openalex.org/W2020735245","https://openalex.org/W2103868202","https://openalex.org/W2106852142","https://openalex.org/W2117539524","https://openalex.org/W2121947440","https://openalex.org/W2138621090","https://openalex.org/W2194775991","https://openalex.org/W2779692282","https://openalex.org/W2798405286","https://openalex.org/W2805627121","https://openalex.org/W2962852342","https://openalex.org/W2994560339","https://openalex.org/W2997969890","https://openalex.org/W3011266291","https://openalex.org/W3025631318","https://openalex.org/W3034363127","https://openalex.org/W3035524453","https://openalex.org/W3047447269","https://openalex.org/W3087124270","https://openalex.org/W3106743555","https://openalex.org/W3110446398","https://openalex.org/W3158714121","https://openalex.org/W3169827396","https://openalex.org/W3180805579","https://openalex.org/W4200583727","https://openalex.org/W4214510096","https://openalex.org/W4235169531","https://openalex.org/W4283837282","https://openalex.org/W4284968770","https://openalex.org/W4311415873","https://openalex.org/W4312452487","https://openalex.org/W4379382628","https://openalex.org/W4386362931","https://openalex.org/W6607212033","https://openalex.org/W6677919164","https://openalex.org/W6682541512","https://openalex.org/W6685380521","https://openalex.org/W6781695082","https://openalex.org/W6787972765","https://openalex.org/W6788603753","https://openalex.org/W6791086484","https://openalex.org/W6791237183","https://openalex.org/W6796502740","https://openalex.org/W6797016505"],"related_works":["https://openalex.org/W3174759195","https://openalex.org/W3167013339","https://openalex.org/W4287121366","https://openalex.org/W60493759","https://openalex.org/W4386437125","https://openalex.org/W4308619659","https://openalex.org/W3213069564","https://openalex.org/W2997229301","https://openalex.org/W2785325870","https://openalex.org/W2794802664"],"abstract_inverted_index":{"In":[0],"this":[1,84],"article,":[2],"a":[3,88,127,162],"new":[4],"unsupervised":[5,80,142,166],"contrastive":[6,60,170],"clustering":[7,39,116,143,167],"(CC)":[8],"model":[9,21],"is":[10,22,76,120,147,157],"introduced,":[11],"namely,":[12],"image":[13,42],"CC":[14,30],"with":[15,172],"self-learning":[16,173],"pairwise":[17,26,47,70,89,97,174],"constraints":[18,27,48,71,90,98],"(ICC-SPC).":[19],"This":[20,93,155],"designed":[23],"to":[24,130],"integrate":[25],"into":[28],"the":[29,33,51,115,131,135],"process,":[31],"enhancing":[32],"latent":[34,107],"representation":[35,108],"learning":[36,91,171],"and":[37,56,109],"improving":[38],"results":[40],"for":[41,123,165],"data.":[43],"The":[44],"incorporation":[45],"of":[46,53,137],"helps":[49],"reduce":[50],"impact":[52],"false":[54,57],"negatives":[55],"positives":[58],"in":[59,79,141],"learning,":[61],"while":[62],"maintaining":[63],"robust":[64],"cluster":[65],"discrimination.":[66],"However,":[67],"obtaining":[68],"prior":[69],"from":[72],"unlabeled":[73],"data":[74,100],"directly":[75],"quite":[77],"challenging":[78],"scenarios.":[81],"To":[82],"address":[83],"issue,":[85],"ICC-SPC":[86],"designs":[87],"module.":[92],"module":[94],"autonomously":[95],"learns":[96],"among":[99],"samples":[101],"by":[102,114,134,168],"leveraging":[103],"consensus":[104],"information":[105,140],"between":[106],"pseudo-labels,":[110],"which":[111],"are":[112],"generated":[113],"algorithm.":[117],"Consequently,":[118],"there":[119],"no":[121],"requirement":[122],"labeled":[124],"images,":[125],"offering":[126],"practical":[128],"resolution":[129],"challenge":[132],"posed":[133],"lack":[136],"sufficient":[138],"supervised":[139],"tasks.":[144],"ICC-SPC's":[145],"effectiveness":[146],"validated":[148],"through":[149],"evaluations":[150],"on":[151],"multiple":[152],"benchmark":[153],"datasets.":[154],"contribution":[156],"significant,":[158],"as":[159],"we":[160],"present":[161],"novel":[163],"framework":[164],"integrating":[169],"constraints.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
