{"id":"https://openalex.org/W7158770703","doi":"https://doi.org/10.48550/arxiv.2604.26255","title":"GaitKD: A Universal Decoupled Distillation Framework for Efficient Gait Recognition","display_name":"GaitKD: A Universal Decoupled Distillation Framework for Efficient Gait Recognition","publication_year":2026,"publication_date":"2026-04-29","ids":{"openalex":"https://openalex.org/W7158770703","doi":"https://doi.org/10.48550/arxiv.2604.26255"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.26255","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.26255","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.26255","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134902424","display_name":"Yuqi Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yuqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134907765","display_name":"Qian Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Qian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032794917","display_name":"Hao-yu Duan","orcid":"https://orcid.org/0009-0009-6183-2859"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duan, Huiran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134920534","display_name":"Jingjie Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Jingjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134907692","display_name":"Shunli Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Shunli","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134898687","display_name":"Chuanguang Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Chuanguang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134890679","display_name":"Guoying Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Guoying","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134895280","display_name":"Yingli Tian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian, Yingli","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.00019999999494757503,"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/gait","display_name":"Gait","score":0.722100019454956},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.6624000072479248},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5351999998092651},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5304999947547913},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5094000101089478},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.45190000534057617},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4348999857902527},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3723999857902527}],"concepts":[{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.722100019454956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6650999784469604},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6624000072479248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.59170001745224},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5351999998092651},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5304999947547913},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5094000101089478},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4575999975204468},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.45190000534057617},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4348999857902527},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3723999857902527},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3578999936580658},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.35679998993873596},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.3529999852180481},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.33739998936653137},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.33500000834465027},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3276999890804291},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.30309998989105225},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.28200000524520874},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.2612999975681305}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.26255","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.26255","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.26255","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.26255","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Gait":[0],"recognition":[1,152],"is":[2,52,62,187],"an":[3,46,122],"attractive":[4],"biometric":[5],"modality":[6],"for":[7,56],"long-range":[8],"and":[9,20,69,93,101,154,174],"contact-free":[10],"identification,":[11],"but":[12],"high-performing":[13],"gait":[14,58,84,140,151,162],"models":[15,141],"often":[16,53],"rely":[17],"on":[18],"deep":[19],"computationally":[21],"expensive":[22],"architectures":[23],"that":[24,82,167],"are":[25,172],"difficult":[26],"to":[27,38,45,107],"deploy":[28],"in":[29],"practice.":[30],"Knowledge":[31],"distillation":[32,80,92,106,176],"(KD)":[33],"offers":[34],"a":[35,42,79,131],"natural":[36],"way":[37],"transfer":[39,86,108,170],"knowledge":[40,85],"from":[41,64],"powerful":[43],"teacher":[44,100],"efficient":[47],"student;":[48],"however,":[49],"standard":[50],"KD":[51],"less":[54],"effective":[55],"part-structured":[57],"models,":[59],"where":[60],"supervision":[61],"formed":[63],"both":[65],"part-wise":[66,70,134],"classification":[67],"logits":[68],"retrieval":[71],"embeddings.":[72],"In":[73],"this":[74],"paper,":[75],"we":[76],"propose":[77],"GaitKD,":[78],"framework":[81],"decouples":[83],"into":[87],"two":[88,169],"complementary":[89],"components:":[90],"decision-level":[91],"boundary-level":[94],"distillation.":[95],"Specifically,":[96],"GaitKD":[97,136],"aligns":[98],"the":[99,114,118,168],"student":[102],"through":[103,121],"part-calibrated":[104],"logit":[105],"inter-class":[109],"decision":[110],"relations,":[111],"while":[112],"preserving":[113],"teacher-induced":[115],"partitioning":[116],"of":[117,126],"embedding":[119],"space":[120],"activation-boundary":[123],"objective":[124],"instead":[125],"direct":[127,182],"feature":[128,183],"regression.":[129,184],"With":[130],"simple":[132],"aligned":[133],"design,":[135],"supports":[137],"heterogeneous":[138],"teacher-student":[139,155],"without":[142],"introducing":[143],"additional":[144],"inference":[145],"cost.":[146],"Experimental":[147],"results":[148],"across":[149],"multiple":[150],"benchmarks":[153],"configurations":[156],"show":[157],"consistent":[158],"improvements":[159],"over":[160],"strong":[161],"baselines.":[163],"Our":[164],"study":[165],"demonstrates":[166],"components":[171],"complementary,":[173],"boundary-preserving":[175],"provides":[177],"more":[178],"stable":[179],"performance":[180],"than":[181],"Source":[185],"code":[186],"available":[188],"at":[189],"https://github.com/liyiersan/GaitKD/":[190]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-01T00:00:00"}