{"id":"https://openalex.org/W4408354874","doi":"https://doi.org/10.1109/icassp49660.2025.10887811","title":"A New Model for Prototype-based Continual Learning in Hyperspherical Space","display_name":"A New Model for Prototype-based Continual Learning in Hyperspherical Space","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408354874","doi":"https://doi.org/10.1109/icassp49660.2025.10887811"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10887811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5054723372","display_name":"Yixin Ren","orcid":"https://orcid.org/0000-0002-0084-4903"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yixin Ren","raw_affiliation_strings":["Fudan University,School of Computer Science,Shanghai,China,200438"],"affiliations":[{"raw_affiliation_string":"Fudan University,School of Computer Science,Shanghai,China,200438","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066746163","display_name":"Yewei Xia","orcid":"https://orcid.org/0000-0001-5515-5913"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yewei Xia","raw_affiliation_strings":["Fudan University,School of Computer Science,Shanghai,China,200438"],"affiliations":[{"raw_affiliation_string":"Fudan University,School of Computer Science,Shanghai,China,200438","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100725160","display_name":"Ke Li","orcid":"https://orcid.org/0000-0001-7998-0731"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Ke","raw_affiliation_strings":["Alibaba Group,Hangzhou,China,311121"],"affiliations":[{"raw_affiliation_string":"Alibaba Group,Hangzhou,China,311121","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058197951","display_name":"Longtao Huang","orcid":"https://orcid.org/0000-0002-0517-1592"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longtao Huang","raw_affiliation_strings":["Alibaba Group,Hangzhou,China,311121"],"affiliations":[{"raw_affiliation_string":"Alibaba Group,Hangzhou,China,311121","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337747","display_name":"Hui Xue","orcid":"https://orcid.org/0000-0002-2093-2839"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Xue","raw_affiliation_strings":["Alibaba Group,Hangzhou,China,311121"],"affiliations":[{"raw_affiliation_string":"Alibaba Group,Hangzhou,China,311121","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017862559","display_name":"Shuigeng Zhou","orcid":"https://orcid.org/0000-0002-1949-2768"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuigeng Zhou","raw_affiliation_strings":["Fudan University,School of Computer Science,Shanghai,China,200438"],"affiliations":[{"raw_affiliation_string":"Fudan University,School of Computer Science,Shanghai,China,200438","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5054723372"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05557269,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.7516000270843506,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.7516000270843506,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13018","display_name":"Seismology and Earthquake Studies","score":0.66839998960495,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.6360999941825867,"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":0.6992555856704712},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5966241359710693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3742145597934723},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32634902000427246},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10752025246620178}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6992555856704712},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5966241359710693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3742145597934723},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32634902000427246},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10752025246620178}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10887811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2060277733","https://openalex.org/W2194775991","https://openalex.org/W2473930607","https://openalex.org/W2551176409","https://openalex.org/W2560647685","https://openalex.org/W2939137134","https://openalex.org/W2948734064","https://openalex.org/W2949071326","https://openalex.org/W2949736877","https://openalex.org/W2954929116","https://openalex.org/W2964048876","https://openalex.org/W2964189064","https://openalex.org/W2995139074","https://openalex.org/W3000677656","https://openalex.org/W3034856281","https://openalex.org/W3107810305","https://openalex.org/W3175294706","https://openalex.org/W3178686235","https://openalex.org/W3180392831","https://openalex.org/W3181161034","https://openalex.org/W4214924370","https://openalex.org/W4312572119","https://openalex.org/W4312754066","https://openalex.org/W4313028293","https://openalex.org/W4400680576","https://openalex.org/W6679564466","https://openalex.org/W6738602802","https://openalex.org/W6741217325","https://openalex.org/W6787972765","https://openalex.org/W6803377241","https://openalex.org/W6803451136","https://openalex.org/W6838571599","https://openalex.org/W6843384061","https://openalex.org/W6849248325","https://openalex.org/W6849282020","https://openalex.org/W6849896277","https://openalex.org/W6852760866"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"continuous":[1],"emergence":[2],"of":[3,108,186],"new":[4,31,162],"objects":[5],"in":[6,144],"the":[7,21,34,56,70,86,104,110,132,145,149,184,187],"visual":[8,87],"world":[9],"poses":[10],"a":[11,77,90,126],"serious":[12],"challenge":[13],"to":[14,55,120,130,173],"deep":[15],"object":[16],"recognition":[17],"methods,":[18],"which":[19],"sparks":[20],"increasing":[22],"study":[23],"on":[24,43,69,179],"continual":[25,48,80,95],"or":[26],"incremental":[27],"learning.":[28],"However,":[29],"learning":[30,49,72,81,96],"tasks":[32,58],"faces":[33],"tough":[35],"catastrophic":[36,62,175],"forgetting":[37],"problem,":[38],"i.e.,":[39],"dramatic":[40],"performance":[41],"degradation":[42],"old":[44],"tasks.":[45],"A":[46],"good":[47],"model":[50,82],"should":[51],"be":[52],"robustly":[53],"adapted":[54],"upcoming":[57],"while":[59],"effectively":[60,160],"handling":[61],"forgetting.":[63,176],"In":[64],"this":[65],"paper,":[66],"we":[67,114],"focus":[68],"class-incremental":[71],"(CIL)":[73],"task,":[74],"and":[75,125,154,164],"propose":[76],"novel":[78],"prototype-based":[79],"C-HPN":[83,99],"that":[84],"projects":[85],"features":[88,100],"into":[89],"hypersphere":[91],"geometric":[92],"space,":[93],"where":[94],"is":[97,171],"conducted.":[98],"two-fold":[101],"contributions.":[102],"On":[103,148],"one":[105],"hand,":[106,151],"instead":[107],"using":[109],"popular":[111],"cross-entropy":[112],"loss,":[113],"develop":[115],"an":[116,165],"instance-prototype":[117,166],"compact":[118],"loss":[119,129],"obtain":[121],"well-clustered":[122],"hyperspherical":[123,146],"embeddings":[124],"prototype-prototype":[127],"separability":[128],"boost":[131],"model\u2019s":[133],"generalization":[134],"by":[135],"introducing":[136],"large":[137],"angle":[138],"distance":[139],"inductive":[140],"bias":[141],"between":[142],"prototypes":[143],"space.":[147],"other":[150],"prototype":[152],"construction":[153],"adaptation":[155],"strategies":[156],"are":[157],"designed":[158],"for":[159],"adapting":[161],"classes,":[163],"relationship":[167],"preservation":[168],"distillation":[169],"mechanism":[170],"introduced":[172],"overcome":[174],"Extensive":[177],"experiments":[178],"several":[180],"image":[181],"datasets":[182],"validate":[183],"effectiveness":[185],"proposed":[188],"method.":[189]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
