{"id":"https://openalex.org/W4399659058","doi":"https://doi.org/10.1145/3641584.3641615","title":"Deep Active Learning Image Classification Algorithm Based on Class-Wise Self-Knowledge Distillation","display_name":"Deep Active Learning Image Classification Algorithm Based on Class-Wise Self-Knowledge Distillation","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4399659058","doi":"https://doi.org/10.1145/3641584.3641615"},"language":"en","primary_location":{"id":"doi:10.1145/3641584.3641615","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3641584.3641615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.hud.ac.uk/en/publications/b808905f-0384-42e5-88e0-2626a8f4e483","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030571011","display_name":"Yuliang Pang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuliang Pang","raw_affiliation_strings":["Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0003-6120-9991","affiliations":[{"raw_affiliation_string":"Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100761763","display_name":"Ying Liu","orcid":"https://orcid.org/0000-0002-9037-7818"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Liu","raw_affiliation_strings":["Center for Image and Information Processing,International Joint-Research Center for Wireless Communication and Information Processing, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-9037-7818","affiliations":[{"raw_affiliation_string":"Center for Image and Information Processing,International Joint-Research Center for Wireless Communication and Information Processing, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089434715","display_name":"Yu Hao","orcid":"https://orcid.org/0000-0002-6820-5243"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Hao","raw_affiliation_strings":["Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-6820-5243","affiliations":[{"raw_affiliation_string":"Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027508507","display_name":"Yanchao Gong","orcid":"https://orcid.org/0000-0002-1620-1101"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanchao Gong","raw_affiliation_strings":["Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-1620-1101","affiliations":[{"raw_affiliation_string":"Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073344117","display_name":"Daxiang Li","orcid":"https://orcid.org/0000-0002-5766-5973"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daxiang Li","raw_affiliation_strings":["Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-5766-5973","affiliations":[{"raw_affiliation_string":"Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100745405","display_name":"Zhijie Xu","orcid":"https://orcid.org/0000-0002-0524-5926"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhijie Xu","raw_affiliation_strings":["International Joint-Research Center for Wireless Communication and Information Processing, University of Huddersfield, China"],"raw_orcid":"https://orcid.org/0000-0002-0524-5926","affiliations":[{"raw_affiliation_string":"International Joint-Research Center for Wireless Communication and Information Processing, University of Huddersfield, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.42041606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"205","last_page":"211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9930999875068665,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9930999875068665,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9667999744415283,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.960099995136261,"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":0.7162682414054871},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.6936085224151611},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6410280466079712},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5939947962760925},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5571550130844116},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5259423851966858},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5232614278793335},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47723889350891113},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34305086731910706},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.09568539261817932}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7162682414054871},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6936085224151611},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6410280466079712},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5939947962760925},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5571550130844116},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5259423851966858},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5232614278793335},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47723889350891113},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34305086731910706},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.09568539261817932},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3641584.3641615","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3641584.3641615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/b808905f-0384-42e5-88e0-2626a8f4e483","is_oa":true,"landing_page_url":"https://pure.hud.ac.uk/en/publications/b808905f-0384-42e5-88e0-2626a8f4e483","pdf_url":null,"source":{"id":"https://openalex.org/S4306402508","display_name":"Huddersfield Research Portal (University of Huddersfield)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I133837150","host_organization_name":"University of Huddersfield","host_organization_lineage":["https://openalex.org/I133837150"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pang, Y, Liu, Y, Hao, Y, Gong, Y, Li, D & Xu, Z 2024, Deep Active Learning Image Classification Algorithm Based on Class-Wise Self-Knowledge Distillation. in AIPR 2023 - 6th International Conference on Artificial Intelligence and Pattern Recognition. Association for Computing Machinery, pp. 205-211, 6th International Conference on Artificial Intelligence and Pattern Recognition, Xiamen, China, 22/09/23. https://doi.org/10.1145/3641584.3641615","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/b808905f-0384-42e5-88e0-2626a8f4e483","is_oa":true,"landing_page_url":"https://pure.hud.ac.uk/en/publications/b808905f-0384-42e5-88e0-2626a8f4e483","pdf_url":null,"source":{"id":"https://openalex.org/S4306402508","display_name":"Huddersfield Research Portal (University of Huddersfield)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I133837150","host_organization_name":"University of Huddersfield","host_organization_lineage":["https://openalex.org/I133837150"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pang, Y, Liu, Y, Hao, Y, Gong, Y, Li, D & Xu, Z 2024, Deep Active Learning Image Classification Algorithm Based on Class-Wise Self-Knowledge Distillation. in AIPR 2023 - 6th International Conference on Artificial Intelligence and Pattern Recognition. Association for Computing Machinery, pp. 205-211, 6th International Conference on Artificial Intelligence and Pattern Recognition, Xiamen, China, 22/09/23. https://doi.org/10.1145/3641584.3641615","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1676314349","https://openalex.org/W1981276685","https://openalex.org/W2471138382","https://openalex.org/W2891961284","https://openalex.org/W2908591466","https://openalex.org/W2956371155","https://openalex.org/W2963132934","https://openalex.org/W2986514296","https://openalex.org/W2987861506","https://openalex.org/W3034368386","https://openalex.org/W3034695001","https://openalex.org/W3138154797","https://openalex.org/W3162418282","https://openalex.org/W3172141688","https://openalex.org/W3174894125","https://openalex.org/W3177330184","https://openalex.org/W3179550234","https://openalex.org/W3184557372","https://openalex.org/W3184966323","https://openalex.org/W3185613252","https://openalex.org/W3212386989","https://openalex.org/W4200014273"],"related_works":["https://openalex.org/W3026162553","https://openalex.org/W2768175398","https://openalex.org/W2344382886","https://openalex.org/W19111321","https://openalex.org/W2412887479","https://openalex.org/W32245304","https://openalex.org/W2953684491","https://openalex.org/W4285338581","https://openalex.org/W2015158429","https://openalex.org/W2080290893"],"abstract_inverted_index":{"The":[0,189],"success":[1],"of":[2,16,22,41,64,70,86,96,146,149,161,186],"image":[3,35,50,110],"classification":[4,36,51,111,163,214],"techniques":[5],"based":[6],"on":[7,12,199],"deep":[8,59,107],"learning":[9,32,47,155,197],"relies":[10],"heavily":[11],"a":[13,67,106,142],"large":[14],"amount":[15,69],"labeled":[17,71],"data.":[18,72],"However,":[19,44],"the":[20,39,78,83,94,128,135,147,153,159,162,175,187,209],"cost":[21,40],"data":[23,42,151],"annotation":[24],"is":[25,91,171,192],"often":[26],"expensive.":[27],"This":[28,73,117],"paper":[29,104],"investigates":[30],"active":[31,46,108,154,196],"algorithms":[33,48],"for":[34,49,77],"to":[37,57,80,93,173],"reduce":[38],"annotation.":[43],"traditional":[45],"suffer":[52],"from":[53],"overfitting":[54,120],"issues":[55],"due":[56],"training":[58],"neural":[60],"networks":[61],"with":[62,113,134,194],"millions":[63],"parameters":[65],"using":[66],"small":[68],"makes":[74],"it":[75],"difficult":[76],"model":[79],"effectively":[81],"assess":[82],"information":[84,185],"richness":[85],"unknown":[87],"unlabeled":[88,150],"samples":[89,133],"and":[90,121,157,182,203],"detrimental":[92],"selection":[95,177],"high-value":[97],"samples.":[98],"To":[99],"alleviate":[100],"these":[101],"issues,":[102],"this":[103],"proposes":[105],"learning-based":[109],"algorithm":[112,118,156,191,211],"class-wise":[114,122],"self-knowledge":[115],"distillation.":[116],"reduces":[119],"variations":[123],"by":[124,152,179],"matching":[125],"or":[126],"distilling":[127],"predictive":[129],"distribution":[130],"between":[131],"different":[132],"same":[136],"label":[137],"during":[138],"training,":[139],"thereby":[140],"enabling":[141],"more":[143],"accurate":[144],"evaluation":[145],"informativeness":[148],"improving":[158],"performance":[160],"model.":[164],"Additionally,":[165],"an":[166],"efficient":[167],"Shuffle":[168],"Attention":[169],"mechanism":[170],"introduced":[172],"improve":[174],"sample":[176],"strategy":[178],"combining":[180],"spatial":[181],"channel":[183],"feature":[184],"images.":[188],"proposed":[190,210],"compared":[193],"five":[195],"baselines":[198],"CIFAR10,":[200],"CIFAR100,":[201],"SVHN,":[202],"FashionMNIST":[204],"datasets.":[205],"Experimental":[206],"results":[207],"demonstrate":[208],"exhibits":[212],"superior":[213],"performance.":[215]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}