{"id":"https://openalex.org/W4399618322","doi":"https://doi.org/10.1109/tmm.2024.3414277","title":"Modeling Inner- and Cross-Task Contrastive Relations for Continual Image Classification","display_name":"Modeling Inner- and Cross-Task Contrastive Relations for Continual Image Classification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399618322","doi":"https://doi.org/10.1109/tmm.2024.3414277"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3414277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3414277","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5101847338","display_name":"Yuxuan Luo","orcid":"https://orcid.org/0000-0003-1003-2252"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuxuan Luo","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091558139","display_name":"Runmin Cong","orcid":"https://orcid.org/0000-0003-0972-4008"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runmin Cong","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-0972-4008","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026904363","display_name":"Xialei Liu","orcid":"https://orcid.org/0000-0001-8534-3026"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xialei Liu","raw_affiliation_strings":["College of Computer Science, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-8534-3026","affiliations":[{"raw_affiliation_string":"College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020304898","display_name":"Horace H. S. Ip","orcid":"https://orcid.org/0000-0002-1509-9002"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Horace Ho Shing Ip","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-1509-9002","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["Lingnan University, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0001-7484-7261","affiliations":[{"raw_affiliation_string":"Lingnan University, Hong Kong SAR, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4466,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.89908309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"26","issue":null,"first_page":"10842","last_page":"10853"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.6157000064849854,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.6157000064849854,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8112856149673462},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5767515301704407},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5720217823982239},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4994490146636963},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4650266170501709},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4192269444465637},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4144502580165863},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39058321714401245},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3758409321308136}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8112856149673462},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5767515301704407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5720217823982239},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4994490146636963},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4650266170501709},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4192269444465637},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4144502580165863},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39058321714401245},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3758409321308136},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3414277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3414277","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320326189","display_name":"Taishan Scholar Project of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W2031489346","https://openalex.org/W2117539524","https://openalex.org/W2551176409","https://openalex.org/W2554616628","https://openalex.org/W2560647685","https://openalex.org/W2895699061","https://openalex.org/W2964189064","https://openalex.org/W2967085153","https://openalex.org/W2995139074","https://openalex.org/W3000677656","https://openalex.org/W3006465601","https://openalex.org/W3007041883","https://openalex.org/W3034435444","https://openalex.org/W3034867292","https://openalex.org/W3035524453","https://openalex.org/W3096831136","https://openalex.org/W3108827478","https://openalex.org/W3108948422","https://openalex.org/W3109077483","https://openalex.org/W3163939464","https://openalex.org/W3171888599","https://openalex.org/W3177248386","https://openalex.org/W3178686235","https://openalex.org/W3182820356","https://openalex.org/W3204340584","https://openalex.org/W3208937872","https://openalex.org/W4224330024","https://openalex.org/W4282914989","https://openalex.org/W4285268823","https://openalex.org/W4296916378","https://openalex.org/W4307771365","https://openalex.org/W4312210066","https://openalex.org/W4312699294","https://openalex.org/W4312856346","https://openalex.org/W4313009108","https://openalex.org/W4318819817","https://openalex.org/W4381198963","https://openalex.org/W4382318217","https://openalex.org/W4386075492","https://openalex.org/W4386076049","https://openalex.org/W4386076393","https://openalex.org/W4387623885","https://openalex.org/W4388543960","https://openalex.org/W4389338651","https://openalex.org/W4389610214","https://openalex.org/W4390738771","https://openalex.org/W4390872657","https://openalex.org/W4390872941","https://openalex.org/W4390874035","https://openalex.org/W6717697761","https://openalex.org/W6725448924","https://openalex.org/W6741087337","https://openalex.org/W6741217325","https://openalex.org/W6742852309","https://openalex.org/W6747837551","https://openalex.org/W6754278344","https://openalex.org/W6757384668","https://openalex.org/W6761469101","https://openalex.org/W6763195353","https://openalex.org/W6764645560","https://openalex.org/W6776700526","https://openalex.org/W6779277634","https://openalex.org/W6787972765","https://openalex.org/W6788757688","https://openalex.org/W6797922968","https://openalex.org/W6798231577","https://openalex.org/W6803440275","https://openalex.org/W6803451136","https://openalex.org/W6810040637","https://openalex.org/W6843138321","https://openalex.org/W6849965179","https://openalex.org/W6850201126"],"related_works":["https://openalex.org/W1564680838","https://openalex.org/W2060591604","https://openalex.org/W1505626156","https://openalex.org/W2166791242","https://openalex.org/W3012440055","https://openalex.org/W2585162246","https://openalex.org/W2034202275","https://openalex.org/W1934413089","https://openalex.org/W1992291644","https://openalex.org/W2098419343"],"abstract_inverted_index":{"Existing":[0],"continual":[1,12,59,175],"image":[2,60,176],"classification":[3,13,28,61,177],"methods":[4],"demonstrate":[5],"that":[6,23,46,76],"samples":[7,153],"from":[8,94,131],"all":[9],"sequences":[10],"of":[11,58,103,150,159,188],"tasks":[14,40,51,92,115,178],"contain":[15],"common":[16],"(task-invariant)":[17],"features":[18,22,81,107,112,120,128],"and":[19,79,105,124,126,167,182,195],"class-specific":[20],"(task-variant)":[21],"can":[24,52],"be":[25],"decoupled":[26],"for":[27],"tasks.":[29,96],"However,":[30],"the":[31,43,47,56,101,135,151,157,164,186,193],"existing":[32],"feature":[33],"decomposition":[34],"strategies":[35],"only":[36],"focus":[37],"on":[38,87,100,174,179],"individual":[39,91],"while":[41],"neglecting":[42],"essential":[44],"cues":[45],"relationship":[48],"between":[49],"different":[50,95,114],"provide,":[53],"thereby":[54],"hindering":[55],"improvement":[57],"results.":[62],"To":[63],"address":[64],"this":[65],"issue,":[66],"we":[67,138,184],"propose":[68],"an":[69,141],"Adversarial":[70],"Contrastive":[71],"Continual":[72],"Learning":[73],"(ACCL)":[74],"method":[75],"decouples":[77],"task-invariant":[78,104,111,125],"task-variant":[80,106,119,127],"by":[82],"constructing":[83],"all-round,":[84],"multi-level":[85],"contrasts":[86],"sample":[88,160],"pairs":[89],"within":[90],"or":[93],"Specifically,":[97],"three":[98],"constraints":[99],"distribution":[102],"are":[108],"included,":[109],"i.e.,":[110],"across":[113],"should":[116,121,129],"remain":[117],"consistent,":[118],"exhibit":[122],"differences,":[123],"differ":[130],"each":[132],"other.":[133],"At":[134],"same":[136],"time,":[137],"also":[139],"design":[140],"effective":[142],"contrastive":[143],"replay":[144,152],"strategy":[145],"to":[146,154],"make":[147],"full":[148],"use":[149],"participate":[155],"in":[156],"construction":[158],"pairs,":[161],"further":[162],"alleviating":[163],"forgetting":[165],"problem,":[166],"modeling":[168],"cross-task":[169],"relationships.":[170],"Through":[171],"extensive":[172],"experiments":[173],"CIFAR100,":[180],"MiniImageNet":[181],"TinyImageNet,":[183],"show":[185],"superiority":[187],"our":[189],"proposed":[190],"strategy,":[191],"improving":[192],"accuracy":[194],"with":[196],"better":[197],"visualized":[198],"outcomes.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-10-10T00:00:00"}