{"id":"https://openalex.org/W4392903745","doi":"https://doi.org/10.1109/icassp48485.2024.10446428","title":"Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy","display_name":"Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392903745","doi":"https://doi.org/10.1109/icassp48485.2024.10446428"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5041027404","display_name":"Junsu Kim","orcid":"https://orcid.org/0000-0001-9583-7978"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junsu Kim","raw_affiliation_strings":["UNIST,South Korea","UNIST, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNIST,South Korea","institution_ids":["https://openalex.org/I48566637"]},{"raw_affiliation_string":"UNIST, South Korea","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015769135","display_name":"Sumin Hong","orcid":"https://orcid.org/0000-0002-4671-7192"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]},{"id":"https://openalex.org/I4210147631","display_name":"Vatech (South Korea)","ror":"https://ror.org/042xh2258","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210147631"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sumin Hong","raw_affiliation_strings":["SeoulTech,South Korea","SeoulTech, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SeoulTech,South Korea","institution_ids":["https://openalex.org/I4210147631"]},{"raw_affiliation_string":"SeoulTech, South Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100684415","display_name":"Chanwoo Kim","orcid":"https://orcid.org/0000-0001-6004-5903"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chanwoo Kim","raw_affiliation_strings":["UNIST,South Korea","UNIST, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNIST,South Korea","institution_ids":["https://openalex.org/I48566637"]},{"raw_affiliation_string":"UNIST, South Korea","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030979757","display_name":"Jihyeon Kim","orcid":"https://orcid.org/0000-0003-4566-8330"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jihyeon Kim","raw_affiliation_strings":["UNIST,South Korea","UNIST, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNIST,South Korea","institution_ids":["https://openalex.org/I48566637"]},{"raw_affiliation_string":"UNIST, South Korea","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093511556","display_name":"Yihalem Yimolal Tiruneh","orcid":null},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yihalem Yimolal Tiruneh","raw_affiliation_strings":["UNIST,South Korea","UNIST, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNIST,South Korea","institution_ids":["https://openalex.org/I48566637"]},{"raw_affiliation_string":"UNIST, South Korea","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109692711","display_name":"Jeongwan On","orcid":null},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeongwan On","raw_affiliation_strings":["Chonnam National University,South Korea","Chonnam National University, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chonnam National University,South Korea","institution_ids":["https://openalex.org/I111277659"]},{"raw_affiliation_string":"Chonnam National University, South Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018878424","display_name":"Jihyun Song","orcid":"https://orcid.org/0000-0003-2039-170X"},"institutions":[{"id":"https://openalex.org/I4210131320","display_name":"LG (South Korea)","ror":"https://ror.org/03ddh2c27","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210131320"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jihyun Song","raw_affiliation_strings":["LG Electronics,South Korea","LG Electronics, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LG Electronics,South Korea","institution_ids":["https://openalex.org/I4210131320"]},{"raw_affiliation_string":"LG Electronics, South Korea","institution_ids":["https://openalex.org/I4210131320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102025392","display_name":"Sunhwa Choi","orcid":"https://orcid.org/0000-0002-4455-6575"},"institutions":[{"id":"https://openalex.org/I4210131320","display_name":"LG (South Korea)","ror":"https://ror.org/03ddh2c27","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210131320"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sunhwa Choi","raw_affiliation_strings":["LG Electronics,South Korea","LG Electronics, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LG Electronics,South Korea","institution_ids":["https://openalex.org/I4210131320"]},{"raw_affiliation_string":"LG Electronics, South Korea","institution_ids":["https://openalex.org/I4210131320"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101907863","display_name":"Seungryul Baek","orcid":"https://orcid.org/0000-0002-0856-6880"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungryul Baek","raw_affiliation_strings":["UNIST,South Korea","UNIST, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNIST,South Korea","institution_ids":["https://openalex.org/I48566637"]},{"raw_affiliation_string":"UNIST, South Korea","institution_ids":["https://openalex.org/I48566637"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0622,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7591929,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"6800","last_page":"6804"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998000264167786,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998000264167786,"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/T12676","display_name":"Machine Learning and ELM","score":0.9944999814033508,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9940999746322632,"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":0.864223301410675},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.5836907625198364},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5548954010009766},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5435305833816528},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5337119102478027},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5221729278564453},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.49401575326919556},{"id":"https://openalex.org/keywords/buffer-overflow","display_name":"Buffer overflow","score":0.456717848777771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4463839530944824},{"id":"https://openalex.org/keywords/buffer","display_name":"Buffer (optical fiber)","score":0.41703590750694275},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4126223921775818},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3757089376449585},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.18654757738113403}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.864223301410675},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.5836907625198364},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5548954010009766},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5435305833816528},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5337119102478027},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5221729278564453},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.49401575326919556},{"id":"https://openalex.org/C40842320","wikidata":"https://www.wikidata.org/wiki/Q19423","display_name":"Buffer overflow","level":2,"score":0.456717848777771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4463839530944824},{"id":"https://openalex.org/C145018004","wikidata":"https://www.wikidata.org/wiki/Q4985944","display_name":"Buffer (optical fiber)","level":2,"score":0.41703590750694275},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4126223921775818},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3757089376449585},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.18654757738113403},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5090953461","display_name":null,"funder_award_id":"2020\u20130-01336","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G745469241","display_name":null,"funder_award_id":"2020-0-01336","funder_id":"https://openalex.org/F4320321348","funder_display_name":"Ulsan National Institute of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320321348","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748"},{"id":"https://openalex.org/F4320329803","display_name":"LG Electronics","ror":"https://ror.org/03ddh2c27"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2116522068","https://openalex.org/W2560647685","https://openalex.org/W2786446225","https://openalex.org/W2892936772","https://openalex.org/W2902456977","https://openalex.org/W2962766617","https://openalex.org/W2963351448","https://openalex.org/W2964189064","https://openalex.org/W2992308087","https://openalex.org/W3049372737","https://openalex.org/W3092838482","https://openalex.org/W3098511564","https://openalex.org/W3107610991","https://openalex.org/W3122239467","https://openalex.org/W3128709159","https://openalex.org/W3168149265","https://openalex.org/W4286900503","https://openalex.org/W4295883599","https://openalex.org/W6741087337","https://openalex.org/W6755064229","https://openalex.org/W6756754374","https://openalex.org/W6781577911","https://openalex.org/W6781798823","https://openalex.org/W6784094891","https://openalex.org/W6784566949","https://openalex.org/W6802565372"],"related_works":["https://openalex.org/W3034924094","https://openalex.org/W3094954546","https://openalex.org/W1488708774","https://openalex.org/W1982811510","https://openalex.org/W2368842303","https://openalex.org/W1711867634","https://openalex.org/W3041683569","https://openalex.org/W2332011702","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Class":[0],"incremental":[1],"learning":[2],"aims":[3],"to":[4,16,35,60,117,122,134,155],"solve":[5],"a":[6],"problem":[7],"that":[8,100,148],"arises":[9],"when":[10],"continuously":[11],"adding":[12],"unseen":[13],"class":[14],"instances":[15],"an":[17,94],"existing":[18,157],"model":[19,55],"This":[20],"approach":[21,110],"has":[22],"been":[23],"extensively":[24],"studied":[25],"in":[26],"the":[27,54,65,74,77,85,102,119,123,129,137,143,156],"context":[28],"of":[29,67,69,76],"image":[30],"classification;":[31],"however":[32],"its":[33],"applicability":[34],"object":[36,86,107],"detection":[37,87],"is":[38],"not":[39,81],"well":[40],"established":[41],"yet.":[42],"Existing":[43],"frame-works":[44],"using":[45],"replay":[46,50,104,132,158],"methods":[47],"mainly":[48],"collect":[49],"data":[51],"without":[52],"considering":[53],"being":[56],"trained":[57,124],"and":[58,114],"tend":[59],"rely":[61],"on":[62,106,142],"randomness":[63],"or":[64],"number":[66],"labels":[68],"each":[70],"sample.":[71],"Also,":[72],"despite":[73],"effectiveness":[75],"replay,":[78],"it":[79],"was":[80],"yet":[82],"optimized":[83,103],"for":[84],"task.":[88],"In":[89],"this":[90],"paper,":[91],"we":[92,127],"introduce":[93],"effective":[95],"buffer":[96,105,120,139],"training":[97,133],"strategy":[98],"(eBTS)":[99],"creates":[101],"detection.":[108],"Our":[109],"incorporates":[111],"guarantee":[112],"minimum":[113],"hierarchical":[115],"sampling":[116],"establish":[118],"customized":[121],"model.":[125],"Furthermore,":[126],"use":[128],"circular":[130],"experience":[131],"optimally":[135],"utilize":[136],"accumulated":[138],"data.":[140],"Experiments":[141],"MS":[144],"COCO":[145],"dataset":[146],"demonstrate":[147],"our":[149],"eBTS":[150],"achieves":[151],"state-of-the-art":[152],"performance":[153],"compared":[154],"schemes.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}