{"id":"https://openalex.org/W4403792286","doi":"https://doi.org/10.1145/3664647.3680646","title":"Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-shot Open-Set Recognition","display_name":"Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-shot Open-Set Recognition","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403792286","doi":"https://doi.org/10.1145/3664647.3680646"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3680646","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","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/A5107952401","display_name":"Zhenyu Zhang","orcid":"https://orcid.org/0000-0002-6563-6603"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6563-6603","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051638640","display_name":"Guangyao Chen","orcid":"https://orcid.org/0000-0002-7255-2109"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyao Chen","raw_affiliation_strings":["National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7255-2109","affiliations":[{"raw_affiliation_string":"National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076460648","display_name":"Yixiong Zou","orcid":"https://orcid.org/0000-0002-2125-9041"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixiong Zou","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2125-9041","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432137","display_name":"Yuhua Li","orcid":"https://orcid.org/0000-0002-1846-4941"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhua Li","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-1846-4941","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039670436","display_name":"Ruixuan Li","orcid":"https://orcid.org/0000-0002-7791-5511"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruixuan Li","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-7791-5511","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6053","last_page":"6062"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.982699990272522,"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/T12676","display_name":"Machine Learning and ELM","score":0.972000002861023,"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/generator","display_name":"Generator (circuit theory)","score":0.7079925537109375},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6843668222427368},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6547778844833374},{"id":"https://openalex.org/keywords/open-set","display_name":"Open set","score":0.6121828556060791},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6107786297798157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4725758135318756},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.41316914558410645},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18176603317260742},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13038215041160583},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09724417328834534},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.0865907371044159},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.07994073629379272}],"concepts":[{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.7079925537109375},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6843668222427368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6547778844833374},{"id":"https://openalex.org/C42357961","wikidata":"https://www.wikidata.org/wiki/Q213363","display_name":"Open set","level":2,"score":0.6121828556060791},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6107786297798157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4725758135318756},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.41316914558410645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18176603317260742},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13038215041160583},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09724417328834534},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0865907371044159},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.07994073629379272},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3680646","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2117539524","https://openalex.org/W2765515161","https://openalex.org/W2798836702","https://openalex.org/W2896360404","https://openalex.org/W2962799101","https://openalex.org/W2963149653","https://openalex.org/W2963680240","https://openalex.org/W2988501586","https://openalex.org/W3035654071","https://openalex.org/W3093143829","https://openalex.org/W3134961575","https://openalex.org/W3168688436","https://openalex.org/W3174336354","https://openalex.org/W3175320807","https://openalex.org/W3177034761","https://openalex.org/W3206198719","https://openalex.org/W4287367114","https://openalex.org/W4291653121","https://openalex.org/W4303449836","https://openalex.org/W4304092248","https://openalex.org/W4309797008","https://openalex.org/W4312282457","https://openalex.org/W4312702383","https://openalex.org/W4367834670","https://openalex.org/W4385764177","https://openalex.org/W4386071989","https://openalex.org/W4386075566","https://openalex.org/W4386076340","https://openalex.org/W4387197022","https://openalex.org/W4391559654","https://openalex.org/W4393148701","https://openalex.org/W4393156196","https://openalex.org/W4401024643"],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W2806221744","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2773965352","https://openalex.org/W4294892107","https://openalex.org/W2357748469","https://openalex.org/W2392917037"],"abstract_inverted_index":{"Few-shot":[0],"open-set":[1],"recognition":[2],"(FSOR)":[3],"is":[4,43,49,122,186],"a":[5,10,64,168],"challenging":[6],"task":[7],"that":[8,166],"requires":[9],"model":[11],"to":[12,93,129,143],"recognize":[13],"known":[14,35,47],"classes":[15,19,92],"and":[16,140],"identify":[17],"unknown":[18,41,86,109,161,170],"with":[20,119],"limited":[21,55],"labeled":[22],"data.":[23,37],"Existing":[24],"approaches,":[25],"particularly":[26],"Negative-Prototype-Based":[27],"methods,":[28],"generate":[29,94],"negative":[30,97,131,164],"prototypes":[31,98,132,165],"based":[32],"solely":[33],"on":[34,176],"class":[36],"However,":[38],"as":[39],"the":[40,46,75,85,103,108,113,126,149,160],"space":[42,48,87,110],"infinite":[44],"while":[45],"limited,":[50],"these":[51],"methods":[52],"suffer":[53],"from":[54,80,90,159],"representation":[56,111],"capability.":[57],"To":[58,136],"address":[59],"this":[60,184],"limitation,":[61],"we":[62,106,147],"propose":[63],"novel":[65,100,134],"approach,":[66],"termed":[67],"Diversified":[68],"Negative":[69],"Prototypes":[70],"Generator":[71],"(DNPG),":[72],"which":[73],"adopts":[74],"principle":[76],"of":[77,112,183],"\"learning":[78],"unknowns":[79],"unknowns.\"":[81],"Our":[82,154],"method":[83],"leverages":[84],"information":[88],"learned":[89],"base":[91,114],"more":[95],"representative":[96],"for":[99,133],"classes.":[101,115,135],"During":[102],"pre-training":[104],"phase,":[105],"learn":[107],"This":[116],"representation,":[117],"along":[118],"inter-class":[120],"relationships,":[121],"then":[123],"utilized":[124],"in":[125],"meta-learning":[127],"process":[128],"construct":[130],"prevent":[137],"prototype":[138],"collapse":[139],"ensure":[141],"adaptability":[142],"varying":[144],"data":[145],"compositions,":[146],"introduce":[148],"Swap":[150],"Alignment":[151],"(SA)":[152],"module.":[153],"DNPG":[155],"model,":[156],"by":[157],"learning":[158],"space,":[162,171],"generates":[163],"cover":[167],"broader":[169],"thereby":[172],"achieving":[173],"state-of-the-art":[174],"performance":[175],"three":[177],"standard":[178],"FSOR":[179],"datasets.":[180],"The":[181],"repository":[182],"project":[185],"available":[187],"at":[188],"https://github.com/iCGY96/DNPG.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}