{"id":"https://openalex.org/W4321487881","doi":"https://doi.org/10.1109/tnnls.2023.3243903","title":"Task-Related Saliency for Few-Shot Image Classification","display_name":"Task-Related Saliency for Few-Shot Image Classification","publication_year":2023,"publication_date":"2023-02-22","ids":{"openalex":"https://openalex.org/W4321487881","doi":"https://doi.org/10.1109/tnnls.2023.3243903","pmid":"https://pubmed.ncbi.nlm.nih.gov/37027620"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3243903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3243903","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101689229","display_name":"Zhenyu Zhou","orcid":"https://orcid.org/0000-0001-6475-8169"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Zhou","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101672909","display_name":"Lei Luo","orcid":"https://orcid.org/0000-0002-9329-1411"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Luo","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-9329-1411","affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032131582","display_name":"Sihang Zhou","orcid":"https://orcid.org/0000-0003-1491-4594"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sihang Zhou","raw_affiliation_strings":["College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-1491-4594","affiliations":[{"raw_affiliation_string":"College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382412","display_name":"Wang Li","orcid":"https://orcid.org/0000-0002-6900-4507"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Li","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103088081","display_name":"Xihong Yang","orcid":"https://orcid.org/0000-0002-3260-869X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xihong Yang","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-3260-869X","affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101727888","display_name":"Xinwang Liu","orcid":"https://orcid.org/0000-0001-9066-1475"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwang Liu","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-9066-1475","affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069681054","display_name":"En Zhu","orcid":"https://orcid.org/0000-0003-2305-7555"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"En Zhu","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2305-7555","affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":1.1104,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80337992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"35","issue":"8","first_page":"10751","last_page":"10763"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9984999895095825,"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":0.7716484069824219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6672835946083069},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5516048669815063},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.45781129598617554},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45712703466415405},{"id":"https://openalex.org/keywords/salience","display_name":"Salience (neuroscience)","score":0.44478732347488403},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4345121383666992},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43200981616973877},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4235725998878479},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07283654808998108}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7716484069824219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6672835946083069},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5516048669815063},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.45781129598617554},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45712703466415405},{"id":"https://openalex.org/C108154423","wikidata":"https://www.wikidata.org/wiki/Q1469792","display_name":"Salience (neuroscience)","level":2,"score":0.44478732347488403},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4345121383666992},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43200981616973877},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4235725998878479},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07283654808998108},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3243903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3243903","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37027620","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37027620","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G3049183137","display_name":"\u57fa\u4e8e\u970d\u592b\u53d8\u6362\u601d\u60f3\u9762\u5411\u79fb\u52a8\u5e73\u53f0\u7684\u9ad8\u6027\u80fd\u89c6\u89c9\u8ddf\u8e2a\u7814\u7a76","funder_award_id":"61872377","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4321979597","display_name":null,"funder_award_id":"62006237","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5196624177","display_name":null,"funder_award_id":"61825305","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6643592684","display_name":null,"funder_award_id":"61773392","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6882220406","display_name":null,"funder_award_id":"61906020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7472951861","display_name":null,"funder_award_id":"2020AAA0107100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8266900483","display_name":null,"funder_award_id":"61922088","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1536680647","https://openalex.org/W1797268635","https://openalex.org/W2104094955","https://openalex.org/W2155893237","https://openalex.org/W2194775991","https://openalex.org/W2601450892","https://openalex.org/W2604297385","https://openalex.org/W2746791238","https://openalex.org/W2770173563","https://openalex.org/W2787035179","https://openalex.org/W2798441115","https://openalex.org/W2895671740","https://openalex.org/W2904338933","https://openalex.org/W2962723986","https://openalex.org/W2963070905","https://openalex.org/W2963350370","https://openalex.org/W2963498646","https://openalex.org/W2963741406","https://openalex.org/W2963943197","https://openalex.org/W2964105864","https://openalex.org/W2964112702","https://openalex.org/W2979689312","https://openalex.org/W2980347982","https://openalex.org/W2996976377","https://openalex.org/W3012255272","https://openalex.org/W3034312118","https://openalex.org/W3034637015","https://openalex.org/W3035370595","https://openalex.org/W3047669212","https://openalex.org/W3094724482","https://openalex.org/W3095388829","https://openalex.org/W3096805028","https://openalex.org/W3096831136","https://openalex.org/W3099486271","https://openalex.org/W3108975329","https://openalex.org/W3118284102","https://openalex.org/W3118608800","https://openalex.org/W3128632573","https://openalex.org/W3143864123","https://openalex.org/W3171632293","https://openalex.org/W3173788280","https://openalex.org/W3174159092","https://openalex.org/W3176049064","https://openalex.org/W3176219570","https://openalex.org/W3194746126","https://openalex.org/W3205365035","https://openalex.org/W4212932569","https://openalex.org/W4281685334","https://openalex.org/W4292169168","https://openalex.org/W4307230768","https://openalex.org/W6631190155","https://openalex.org/W6638319203","https://openalex.org/W6681968150","https://openalex.org/W6717697761","https://openalex.org/W6718171111","https://openalex.org/W6735236233","https://openalex.org/W6735741670","https://openalex.org/W6736057607","https://openalex.org/W6743661861","https://openalex.org/W6746638498","https://openalex.org/W6748284727","https://openalex.org/W6749327742","https://openalex.org/W6751281049","https://openalex.org/W6753311412","https://openalex.org/W6754484989","https://openalex.org/W6755766585","https://openalex.org/W6756918622","https://openalex.org/W6758126075","https://openalex.org/W6759807521","https://openalex.org/W6760184523","https://openalex.org/W6767471572","https://openalex.org/W6780975210","https://openalex.org/W6785475332","https://openalex.org/W6787972765","https://openalex.org/W6789128979","https://openalex.org/W6791909203","https://openalex.org/W6803712548","https://openalex.org/W6804618789"],"related_works":["https://openalex.org/W1564680838","https://openalex.org/W2003125260","https://openalex.org/W2951720331","https://openalex.org/W2060591604","https://openalex.org/W1992291644","https://openalex.org/W2166791242","https://openalex.org/W2585162246","https://openalex.org/W1934413089","https://openalex.org/W2098419343","https://openalex.org/W2051178964"],"abstract_inverted_index":{"A":[0],"weakness":[1],"of":[2,23,39,58,79,91,137],"the":[3,17,20,26,33,43,52,82,89,92,98,100,103,106,134,144,170,189,200,205,220,237],"existing":[4],"metric-based":[5,83],"few-shot":[6,44,84],"classification":[7,45,128],"method":[8,227],"is":[9,29,47,117,158],"that":[10,48,225],"task-unrelated":[11,65,191],"objects":[12],"or":[13],"backgrounds":[14],"may":[15],"mislead":[16],"model":[18],"since":[19],"small":[21],"number":[22],"samples":[24,197],"in":[25,42,81,199],"support":[27,59],"set":[28],"insufficient":[30],"to":[31,70,162,179,218],"reveal":[32],"task-related":[34,53,73,145,153,164,206],"targets.":[35],"An":[36],"essential":[37],"cue":[38],"human":[40],"wisdom":[41],"task":[46,93,121],"they":[49],"can":[50,142,195],"recognize":[51],"targets":[54],"by":[55,64,167,203],"a":[56,111,125,151,159,229],"glimpse":[57],"images":[60],"without":[61],"being":[62],"distracted":[63],"things.":[66],"Thus,":[67],"we":[68,109,149,173],"propose":[69,150],"explicitly":[71],"learn":[72],"saliency":[74,112,146,154],"features":[75,186],"and":[76,102,176,215,235],"make":[77],"use":[78,177],"them":[80],"learning":[85],"schema.":[86],"We":[87,208],"divide":[88],"tackling":[90],"into":[94],"three":[95],"phases,":[96],"namely,":[97],"modeling,":[99],"analyzing,":[101],"matching.":[104],"In":[105,169],"modeling":[107],"phase,":[108,172],"introduce":[110],"sensitive":[113],"module":[114],"(SSM),":[115],"which":[116,157],"an":[118],"inexact":[119],"supervision":[120],"jointly":[122],"trained":[123],"with":[124],"standard":[126],"multiclass":[127],"task.":[129],"SSM":[130],"not":[131],"only":[132],"enhances":[133],"fine-grained":[135],"representation":[136],"feature":[138],"embedding":[139],"but":[140],"also":[141],"locate":[143],"features.":[147,192,207],"Meanwhile,":[148],"self-training-based":[152],"network":[155,161],"(TRSN)":[156],"lightweight":[160],"distill":[163],"salience":[165],"produced":[166],"SSM.":[168],"analyzing":[171],"freeze":[174],"TRSN":[175,183],"it":[178],"handle":[180],"novel":[181],"tasks.":[182],"extracts":[184],"task-relevant":[185],"while":[187],"suppressing":[188],"disturbing":[190],"We,":[193],"therefore,":[194],"discriminate":[196],"accurately":[198],"matching":[201],"phase":[202],"strengthening":[204],"conduct":[209],"extensive":[210],"experiments":[211],"on":[212,233],"five-way":[213],"1-shot":[214],"5-shot":[216],"settings":[217],"evaluate":[219],"proposed":[221],"method.":[222],"Results":[223],"show":[224],"our":[226],"achieves":[228,236],"consistent":[230],"performance":[231],"gain":[232],"benchmarks":[234],"state-of-the-art.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}