{"id":"https://openalex.org/W4225270294","doi":"https://doi.org/10.1109/icassp43922.2022.9746999","title":"Feature Augmentation Learning for Few-Shot Palmprint Image Recognition With Unconstrained Acquisition","display_name":"Feature Augmentation Learning for Few-Shot Palmprint Image Recognition With Unconstrained Acquisition","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4225270294","doi":"https://doi.org/10.1109/icassp43922.2022.9746999"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9746999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746999","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 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/A5072795269","display_name":"Kunlei Jing","orcid":"https://orcid.org/0000-0001-8871-1242"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]},{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["CN","SG"],"is_corresponding":true,"raw_author_name":"Kunlei Jing","raw_affiliation_strings":["Xi’an Jiaotong University,School of Automation Science and Engineering,China","School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,School of Automation Science and Engineering,China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076494264","display_name":"Xinman Zhang","orcid":"https://orcid.org/0000-0002-4381-7796"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinman Zhang","raw_affiliation_strings":["Xi’an Jiaotong University,School of Automation Science and Engineering,China"],"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,School of Automation Science and Engineering,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393855","display_name":"Zhiyuan Yang","orcid":"https://orcid.org/0000-0003-1738-6096"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhiyuan Yang","raw_affiliation_strings":["Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore","School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024709593","display_name":"Bihan Wen","orcid":"https://orcid.org/0000-0002-6874-6453"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bihan Wen","raw_affiliation_strings":["Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore","School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072795269"],"corresponding_institution_ids":["https://openalex.org/I172675005","https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.4903,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.56808847,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3323","last_page":"3327"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9950000047683716,"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/T10828","display_name":"Biometric Identification and Security","score":0.9950000047683716,"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/T11448","display_name":"Face recognition and analysis","score":0.9908999800682068,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9858999848365784,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7925347089767456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7479904294013977},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7057934999465942},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6857955455780029},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5268967151641846},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.5211617946624756},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.48283347487449646},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.4823298156261444},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.4730876088142395},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4689972400665283},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4610525667667389},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4228125214576721},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16452431678771973}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7925347089767456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7479904294013977},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7057934999465942},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6857955455780029},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5268967151641846},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.5211617946624756},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.48283347487449646},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.4823298156261444},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.4730876088142395},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4689972400665283},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4610525667667389},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4228125214576721},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16452431678771973},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9746999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746999","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W1522301498","https://openalex.org/W1993962865","https://openalex.org/W2115733720","https://openalex.org/W2159680539","https://openalex.org/W2160815625","https://openalex.org/W2163605009","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2753160622","https://openalex.org/W2909383239","https://openalex.org/W2963078860","https://openalex.org/W2963341924","https://openalex.org/W2963845150","https://openalex.org/W2964105864","https://openalex.org/W2964112702","https://openalex.org/W2967716061","https://openalex.org/W2995360785","https://openalex.org/W2996976377","https://openalex.org/W3013142319","https://openalex.org/W3035143213","https://openalex.org/W3035370595","https://openalex.org/W3047669212","https://openalex.org/W3091905774","https://openalex.org/W3160316748","https://openalex.org/W6631190155","https://openalex.org/W6684191040","https://openalex.org/W6717697761","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6743661861","https://openalex.org/W6753311412","https://openalex.org/W6771737166","https://openalex.org/W6775613530","https://openalex.org/W6782166015","https://openalex.org/W6783596713"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W4386799044","https://openalex.org/W2379932303"],"abstract_inverted_index":{"Few-shot":[0],"learning":[1],"is":[2,41],"challenging":[3],"in":[4,197],"unconstrained":[5,15,33,73,91,165,198],"palmprint":[6,10,34,74,151,166,173,184,199],"recognition,":[7],"where":[8],"the":[9,30,45,58,85,90,107,114,125,132,171,181,194],"images":[11,116,185],"are":[12,127],"collected":[13],"by":[14,89,138,154],"acquisitions,":[16],"i.e.,":[17],"different":[18],"imaging":[19],"sensors,":[20],"backgrounds,":[21],"palm":[22],"postures,":[23],"and":[24,36,53,93,120,140,146],"illumination":[25],"conditions.":[26],"Furthermore,":[27],"due":[28],"to":[29,43,56,82],"lack":[31],"of":[32,144,160,183],"databases":[35,174],"sufficient":[37],"intra-class":[38],"samples,":[39,131,191],"it":[40],"difficult":[42],"apply":[44],"classic":[46],"few-shot":[47,72,164],"techniques,":[48],"such":[49],"as":[50],"pre-training,":[51],"fine-tuning,":[52],"sample":[54],"augmentation,":[55],"generalize":[57],"model.":[59],"In":[60],"this":[61,105],"work,":[62],"we":[63],"propose":[64],"a":[65,100,188],"novel":[66],"feature":[67,96,136],"augmentation":[68],"network":[69],"(FAN)":[70],"for":[71,163],"recognition.":[75,167,200],"Without":[76],"any":[77],"external":[78],"databases,":[79],"FAN":[80,155,177],"aims":[81],"simultaneously":[83],"remove":[84],"image":[86],"variations":[87,126],"caused":[88],"acquisitions":[92],"augment":[94],"their":[95,118],"representation":[97],"from":[98,186],"only":[99,187],"few":[101,189],"support":[102,115],"samples.":[103],"To":[104],"end,":[106],"proposed":[108],"deep":[109],"self-expression":[110],"module":[111,134],"first":[112],"decouples":[113],"into":[117],"principle":[119,145],"variation":[121,147],"features.":[122,148],"Assuming":[123],"that":[124,176],"translational":[128],"across":[129],"palm-print":[130],"variation-sharing":[133],"achieves":[135],"augmentations":[137],"swapping":[139],"combining":[141],"all":[142],"pairs":[143],"The":[149],"augmented":[150],"features":[152],"generated":[153],"enable":[156],"more":[157],"general":[158],"representations":[159],"categorical":[161],"prototypes":[162,182],"Experimental":[168],"results":[169],"on":[170],"standard":[172],"show":[175],"can":[178],"effectively":[179],"represent":[180],"available":[190],"thus":[192],"outperforming":[193],"state-of-the-art":[195],"methods":[196]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}