{"id":"https://openalex.org/W4385329426","doi":"https://doi.org/10.1109/iwqos57198.2023.10188702","title":"A Few-shot-learning-based Method to Object Recognition in Multiple Scenarios","display_name":"A Few-shot-learning-based Method to Object Recognition in Multiple Scenarios","publication_year":2023,"publication_date":"2023-06-19","ids":{"openalex":"https://openalex.org/W4385329426","doi":"https://doi.org/10.1109/iwqos57198.2023.10188702"},"language":"en","primary_location":{"id":"doi:10.1109/iwqos57198.2023.10188702","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iwqos57198.2023.10188702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS)","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/A5010533589","display_name":"Shichang He","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shichang He","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University,P. R. China","College of Computer Science and Electronic Engineering, Hunan University, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University,P. R. China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, P. R. China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362298","display_name":"Xuan Liu","orcid":"https://orcid.org/0000-0002-1652-2466"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Liu","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University,P. R. China","College of Computer Science and Electronic Engineering, Hunan University, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University,P. R. China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, P. R. China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005250767","display_name":"Shigeng Zhang","orcid":"https://orcid.org/0000-0001-5351-7239"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shigeng Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University,P. R. China","School of Computer Science and Engineering, Central South University, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University,P. R. China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, P. R. China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108048107","display_name":"Juan Luo","orcid":"https://orcid.org/0000-0002-0858-427X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Luo","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University,P. R. China","College of Computer Science and Electronic Engineering, Hunan University, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University,P. R. China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, P. R. China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010533589"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08080542,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"10"},"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":0.9991000294685364,"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":0.9991000294685364,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9782000184059143,"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":0.7647221088409424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6579403281211853},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5368701815605164},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5162901282310486},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5084825754165649},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5051429867744446},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49466797709465027},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4702545404434204},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.455858051776886},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.37062618136405945},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12560224533081055}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7647221088409424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6579403281211853},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5368701815605164},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5162901282310486},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5084825754165649},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5051429867744446},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49466797709465027},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4702545404434204},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.455858051776886},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.37062618136405945},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12560224533081055},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwqos57198.2023.10188702","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iwqos57198.2023.10188702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1722318740","https://openalex.org/W1731081199","https://openalex.org/W1972788133","https://openalex.org/W2133774033","https://openalex.org/W2604763608","https://openalex.org/W2767647323","https://openalex.org/W2767699072","https://openalex.org/W2779610669","https://openalex.org/W2798593490","https://openalex.org/W2808498263","https://openalex.org/W2856961199","https://openalex.org/W2895416001","https://openalex.org/W2913732814","https://openalex.org/W2948069880","https://openalex.org/W2949517868","https://openalex.org/W2958360136","https://openalex.org/W2962687275","https://openalex.org/W2962722184","https://openalex.org/W2962968458","https://openalex.org/W2963078860","https://openalex.org/W2963217615","https://openalex.org/W2963444553","https://openalex.org/W2964105864","https://openalex.org/W2964139811","https://openalex.org/W2964278684","https://openalex.org/W2964288524","https://openalex.org/W2981587265","https://openalex.org/W3009033475","https://openalex.org/W3023930145","https://openalex.org/W3033092651","https://openalex.org/W3034606981","https://openalex.org/W3083541877","https://openalex.org/W3102842772","https://openalex.org/W3118284102","https://openalex.org/W4300485654","https://openalex.org/W6637618735","https://openalex.org/W6713955831","https://openalex.org/W6734335776","https://openalex.org/W6736057607","https://openalex.org/W6740731065","https://openalex.org/W6745620410","https://openalex.org/W6745831770","https://openalex.org/W6752940074","https://openalex.org/W6753198114","https://openalex.org/W6754654810","https://openalex.org/W6756469835","https://openalex.org/W6774187218","https://openalex.org/W6775188128"],"related_works":["https://openalex.org/W3080655457","https://openalex.org/W4389474468","https://openalex.org/W3166286441","https://openalex.org/W3214142563","https://openalex.org/W3136267388","https://openalex.org/W3186065094","https://openalex.org/W4287263085","https://openalex.org/W3093803318","https://openalex.org/W3095487414","https://openalex.org/W3204418343"],"abstract_inverted_index":{"To":[0],"recognize":[1],"the":[2,18,37,41,48,55,65,83,97,115,154,184,187,193,198,201,207,215,219,233,243],"target":[3,43,89,155,177,208],"classes":[4,20],"with":[5,96],"only":[6],"a":[7,26,70,87,125,130,140,229],"few":[8,42],"samples,":[9,58],"few-shot":[10,33,71],"learning":[11,34,72,222],"(FSL)":[12],"uses":[13],"prior":[14,80],"knowledge":[15,81],"learned":[16],"from":[17,47,223],"source":[19,56,100,188,202],"and":[21,171,206],"is":[22,136,159,163],"usually":[23],"expressed":[24],"as":[25,54],"special":[27],"domain":[28,50,53,90,101,116,132,146,156,178,189,203,209],"adaptation":[29,133,147],"problem.":[30],"However,":[31],"Existing":[32],"methods":[35],"make":[36],"implicit":[38],"assumption":[39],"that":[40,239],"class":[44,57,111],"samples":[45],"are":[46],"same":[49,234],"or":[51],"different":[52,176],"which":[59,77,135],"greatly":[60],"limits":[61],"their":[62],"application":[63],"in":[64,74,124],"wild.":[66],"This":[67],"paper":[68],"introduces":[69],"method":[73],"multiple":[75],"scenarios":[76],"requires":[78],"no":[79],"on":[82,114,232],"label":[84,157,168,179,190,204,210],"set.":[85,211],"For":[86],"given":[88],"labels":[91,102],"set,":[92,180],"it":[93],"may":[94],"overlap":[95],"set":[98,158,191,205],"of":[99,186,218],"to":[103,120,138,144,164,196,227],"varying":[104],"degrees,":[105],"thereby":[106],"bringing":[107],"up":[108],"an":[109],"additional":[110],"gap":[112],"based":[113],"gap.":[117],"In":[118],"order":[119],"solve":[121,228],"this":[122],"problem":[123],"unified":[126],"framework,":[127],"we":[128,182,213],"propose":[129],"novel":[131],"network":[134,170,174],"designed":[137],"address":[139],"specific":[141],"challenge:":[142],"How":[143],"achieve":[145],"whilst":[148],"maintaining":[149],"source/target":[150],"per-class":[151],"discriminativeness":[152],"when":[153],"unseen.":[160],"Our":[161],"solution":[162],"design":[165],"corresponding":[166],"soft":[167],"transfer":[169],"minimax":[172],"entropy":[173],"for":[175],"then":[181],"quantify":[183],"transferability":[185],"during":[192],"training":[194],"process":[195],"discover":[197],"relationship":[199],"between":[200],"Further,":[212],"broaden":[214],"model's":[216],"understanding":[217],"data":[220],"by":[221],"self-supervised":[224],"signals":[225],"how":[226],"jigsaw":[230],"puzzle":[231],"sample.":[235],"Extensive":[236],"experiments":[237],"show":[238],"our":[240],"model":[241],"outperforms":[242],"state-of-the-art":[244],"models.":[245]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
