{"id":"https://openalex.org/W4386596826","doi":"https://doi.org/10.1109/icip49359.2023.10222412","title":"Task-Agnostic Open-Set Prototype for Few-Shot Open-Set Recognition","display_name":"Task-Agnostic Open-Set Prototype for Few-Shot Open-Set Recognition","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386596826","doi":"https://doi.org/10.1109/icip49359.2023.10222412"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","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/A5114080342","display_name":"Byeonggeun Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I19268510","display_name":"Qualcomm (United Kingdom)","ror":"https://ror.org/04d3djg48","country_code":"GB","type":"company","lineage":["https://openalex.org/I19268510","https://openalex.org/I4210087596"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Byeonggeun Kim","raw_affiliation_strings":["Qualcomm AI Research is an initiative of Qualcomm Technologies, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qualcomm AI Research is an initiative of Qualcomm Technologies, Inc","institution_ids":["https://openalex.org/I19268510"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110806581","display_name":"Jun-Tae Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I19268510","display_name":"Qualcomm (United Kingdom)","ror":"https://ror.org/04d3djg48","country_code":"GB","type":"company","lineage":["https://openalex.org/I19268510","https://openalex.org/I4210087596"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jun-Tae Lee","raw_affiliation_strings":["Qualcomm Korea YH,Qualcomm AI Research,Seoul,Republic of Korea","Qualcomm AI Research, Qualcomm Korea YH, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qualcomm Korea YH,Qualcomm AI Research,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I19268510"]},{"raw_affiliation_string":"Qualcomm AI Research, Qualcomm Korea YH, Seoul, Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064051041","display_name":"Kyuhong Shim","orcid":"https://orcid.org/0000-0002-0123-3100"},"institutions":[{"id":"https://openalex.org/I19268510","display_name":"Qualcomm (United Kingdom)","ror":"https://ror.org/04d3djg48","country_code":"GB","type":"company","lineage":["https://openalex.org/I19268510","https://openalex.org/I4210087596"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kyuhong Shim","raw_affiliation_strings":["Qualcomm Korea YH,Qualcomm AI Research,Seoul,Republic of Korea","Qualcomm AI Research, Qualcomm Korea YH, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qualcomm Korea YH,Qualcomm AI Research,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I19268510"]},{"raw_affiliation_string":"Qualcomm AI Research, Qualcomm Korea YH, Seoul, Republic of Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112998078","display_name":"Simyung Chang","orcid":"https://orcid.org/0000-0001-7750-191X"},"institutions":[{"id":"https://openalex.org/I19268510","display_name":"Qualcomm (United Kingdom)","ror":"https://ror.org/04d3djg48","country_code":"GB","type":"company","lineage":["https://openalex.org/I19268510","https://openalex.org/I4210087596"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Simyung Chang","raw_affiliation_strings":["Qualcomm Korea YH,Qualcomm AI Research,Seoul,Republic of Korea","Qualcomm AI Research, Qualcomm Korea YH, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qualcomm Korea YH,Qualcomm AI Research,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I19268510"]},{"raw_affiliation_string":"Qualcomm AI Research, Qualcomm Korea YH, Seoul, Republic of Korea","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I19268510"],"apc_list":null,"apc_paid":null,"fwci":0.8065,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78230456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"35"},"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":0.9853000044822693,"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":0.982200026512146,"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/open-set","display_name":"Open set","score":0.8139817714691162},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.7536448240280151},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7020857930183411},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6576251983642578},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6163293719291687},{"id":"https://openalex.org/keywords/closed-set","display_name":"Closed set","score":0.558611273765564},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5300780534744263},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38273361325263977},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17135784029960632},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.09184595942497253},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0887259840965271}],"concepts":[{"id":"https://openalex.org/C42357961","wikidata":"https://www.wikidata.org/wiki/Q213363","display_name":"Open set","level":2,"score":0.8139817714691162},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.7536448240280151},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7020857930183411},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6576251983642578},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6163293719291687},{"id":"https://openalex.org/C164953516","wikidata":"https://www.wikidata.org/wiki/Q320357","display_name":"Closed set","level":2,"score":0.558611273765564},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5300780534744263},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38273361325263977},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17135784029960632},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.09184595942497253},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0887259840965271},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","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":30,"referenced_works":["https://openalex.org/W1976526581","https://openalex.org/W2119880843","https://openalex.org/W2158698691","https://openalex.org/W2248269543","https://openalex.org/W2601450892","https://openalex.org/W2622826443","https://openalex.org/W2767547957","https://openalex.org/W2884367402","https://openalex.org/W2936995161","https://openalex.org/W2962723986","https://openalex.org/W2963070905","https://openalex.org/W2963149653","https://openalex.org/W2963341924","https://openalex.org/W2992308087","https://openalex.org/W2994633389","https://openalex.org/W3034312118","https://openalex.org/W3035654071","https://openalex.org/W3108975329","https://openalex.org/W3132455321","https://openalex.org/W3175320807","https://openalex.org/W4283730082","https://openalex.org/W4312282457","https://openalex.org/W4385245566","https://openalex.org/W6717697761","https://openalex.org/W6735236233","https://openalex.org/W6745891213","https://openalex.org/W6748284727","https://openalex.org/W6751281049","https://openalex.org/W6761030284","https://openalex.org/W6774333519"],"related_works":["https://openalex.org/W2961173803","https://openalex.org/W2202182997","https://openalex.org/W4367394211","https://openalex.org/W2354233396","https://openalex.org/W4283819694","https://openalex.org/W4295141346","https://openalex.org/W2100941997","https://openalex.org/W2327391223","https://openalex.org/W2320308301","https://openalex.org/W2620754580"],"abstract_inverted_index":{"In":[0],"few-shot":[1],"open-set":[2,19,44,87,91,115],"recognition":[3],"(FSOSR),":[4],"a":[5,13,36,85,96,113],"network":[6],"learns":[7],"to":[8,103,109,131],"recognize":[9],"closed-set":[10,37],"samples":[11,16,20,92],"with":[12,21,62,117],"few":[14],"support":[15],"while":[17],"rejecting":[18],"no":[22],"class":[23,38,45],"cue.":[24],"Unlike":[25],"conventional":[26],"OSR,":[27],"the":[28,59,70,128],"FSOSR":[29,54],"considers":[30],"more":[31],"practical":[32],"open":[33,60,74],"worlds":[34],"where":[35],"can":[39,89],"be":[40],"selected":[41],"as":[42],"an":[43],"in":[46,99],"another":[47],"testing":[48],"(task)":[49],"and":[50,73,105,121,142],"vice":[51],"versa.":[52],"Existing":[53],"methods":[55],"have":[56],"commonly":[57],"represented":[58],"set":[61],"task-dependent":[63,146],"extra":[64,147],"modules.":[65,148],"These":[66],"modules":[67],"decently":[68],"handle":[69],"varied":[71],"closed":[72],"classes":[75],"but":[76],"accompany":[77],"inevitable":[78],"complexity":[79],"increase.":[80],"This":[81],"paper":[82],"shows":[83],"that":[84],"single":[86],"prototype":[88,116],"represent":[90],"when":[93],"it":[94],"satisfies":[95],"specific":[97],"relation":[98],"metric":[100],"space:":[101],"closest":[102],"open-set,":[104],"simultaneously":[106],"second":[107],"nearest":[108],"close-set.":[110],"We":[111,125],"propose":[112],"task-agnostic":[114],"distance":[118],"scaling":[119],"factors":[120],"design":[122],"loss":[123],"terms.":[124],"extensively":[126],"analyze":[127],"proposed":[129],"components":[130],"demonstrate":[132],"their":[133],"importance.":[134],"Our":[135],"method":[136],"achieves":[137],"state-of-the-art":[138],"results":[139],"on":[140],"miniImageNet":[141],"tieredImageNet,":[143],"respectively,":[144],"without":[145]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
