{"id":"https://openalex.org/W3206866525","doi":"https://doi.org/10.1109/tmm.2021.3119133","title":"Apparel-Invariant Feature Learning for Person Re-Identification","display_name":"Apparel-Invariant Feature Learning for Person Re-Identification","publication_year":2021,"publication_date":"2021-10-11","ids":{"openalex":"https://openalex.org/W3206866525","doi":"https://doi.org/10.1109/tmm.2021.3119133","mag":"3206866525"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3119133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3119133","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-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/A5053762066","display_name":"Zhengxu Yu","orcid":"https://orcid.org/0000-0002-6059-0300"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengxu Yu","raw_affiliation_strings":["State Key Laboratory of CAD&amp;CG, Zhejiang University, Hangzhou, China","DAMO Academy, Alibaba Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6059-0300","affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD&amp;CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"DAMO Academy, Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103004488","display_name":"Yilun Zhao","orcid":"https://orcid.org/0000-0002-7470-6124"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilun Zhao","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7470-6124","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102954165","display_name":"Bin Na Hong","orcid":"https://orcid.org/0000-0002-4186-4433"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Hong","raw_affiliation_strings":["DAMO Academy, Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DAMO Academy, Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078722945","display_name":"Zhongming Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongming Jin","raw_affiliation_strings":["DAMO Academy, Alibaba Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4073-2313","affiliations":[{"raw_affiliation_string":"DAMO Academy, Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079865276","display_name":"Jianqiang Huang","orcid":"https://orcid.org/0000-0001-5735-2910"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Huang","raw_affiliation_strings":["DAMO Academy, Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DAMO Academy, Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037942269","display_name":"Deng Cai","orcid":"https://orcid.org/0000-0001-9817-4065"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deng Cai","raw_affiliation_strings":["State Key Laboratory of CAD&amp;CG, College of Computer Science, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9817-4065","affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD&amp;CG, College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024965898","display_name":"Xian\u2010Sheng Hua","orcid":"https://orcid.org/0000-0002-8232-5049"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian-Sheng Hua","raw_affiliation_strings":["DAMO Academy, Alibaba Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8232-5049","affiliations":[{"raw_affiliation_string":"DAMO Academy, Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.015,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.92955221,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"24","issue":null,"first_page":"4482","last_page":"4492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/T11448","display_name":"Face recognition and analysis","score":0.9986000061035156,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9921000003814697,"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/clothing","display_name":"Clothing","score":0.8260753154754639},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7309278845787048},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6428070068359375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6237701773643494},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5433093309402466},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5364608764648438},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46737733483314514},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.430881530046463},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.42247045040130615},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4176819920539856},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3359662890434265},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3218308091163635},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14422607421875}],"concepts":[{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.8260753154754639},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7309278845787048},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6428070068359375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6237701773643494},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5433093309402466},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5364608764648438},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46737733483314514},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.430881530046463},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.42247045040130615},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4176819920539856},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3359662890434265},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3218308091163635},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14422607421875},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2021.3119133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3119133","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2861150812","display_name":null,"funder_award_id":"62036009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7071169373","display_name":null,"funder_award_id":"61936006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7762118927","display_name":null,"funder_award_id":"U1909203","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1518138188","https://openalex.org/W1594368566","https://openalex.org/W1941498359","https://openalex.org/W1949591461","https://openalex.org/W1973255633","https://openalex.org/W1994623790","https://openalex.org/W2017257315","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2125889200","https://openalex.org/W2194775991","https://openalex.org/W2256680489","https://openalex.org/W2293561010","https://openalex.org/W2433217581","https://openalex.org/W2441160157","https://openalex.org/W2475284720","https://openalex.org/W2531440880","https://openalex.org/W2559085405","https://openalex.org/W2583528645","https://openalex.org/W2590973145","https://openalex.org/W2598634450","https://openalex.org/W2618353479","https://openalex.org/W2736410039","https://openalex.org/W2755066373","https://openalex.org/W2769346661","https://openalex.org/W2771558241","https://openalex.org/W2777534232","https://openalex.org/W2912149104","https://openalex.org/W2944108536","https://openalex.org/W2963000559","https://openalex.org/W2963047834","https://openalex.org/W2963073614","https://openalex.org/W2963420272","https://openalex.org/W2963438548","https://openalex.org/W2963446712","https://openalex.org/W2963574614","https://openalex.org/W2963721283","https://openalex.org/W2963852441","https://openalex.org/W2963968597","https://openalex.org/W2963989829","https://openalex.org/W2964186374","https://openalex.org/W2964304299","https://openalex.org/W2964304707","https://openalex.org/W2964318046","https://openalex.org/W2994675267","https://openalex.org/W2996695408","https://openalex.org/W3005339439","https://openalex.org/W3015309773","https://openalex.org/W3035275216","https://openalex.org/W3042524218","https://openalex.org/W3100507239","https://openalex.org/W3105077954","https://openalex.org/W3119699484","https://openalex.org/W4231109964","https://openalex.org/W4244679355","https://openalex.org/W4294568686","https://openalex.org/W4320013936","https://openalex.org/W6682286002","https://openalex.org/W6715501732","https://openalex.org/W6728374919","https://openalex.org/W6733567194","https://openalex.org/W6735531217","https://openalex.org/W6738494189","https://openalex.org/W6746255304"],"related_works":["https://openalex.org/W4380075502","https://openalex.org/W4223943233","https://openalex.org/W4312200629","https://openalex.org/W4360585206","https://openalex.org/W4364306694","https://openalex.org/W4380086463","https://openalex.org/W4225161397","https://openalex.org/W3014300295","https://openalex.org/W3164822677","https://openalex.org/W2795261237"],"abstract_inverted_index":{"With":[0],"the":[1,46,109,128,144,155,174,183,212,216],"rise":[2],"of":[3,111,119,143,154,215],"deep":[4],"learning":[5],"methods,":[6],"person":[7,48,89,146,157],"Re-Identification":[8],"(ReID)":[9],"performance":[10,214],"has":[11],"been":[12],"improved":[13],"tremendously":[14],"in":[15,26,31,42,76,186],"many":[16],"public":[17,21],"datasets.":[18],"However,":[19],"most":[20],"ReID":[22,67,79,187,213],"datasets":[23],"are":[24,122],"collected":[25],"a":[27,43,62,72],"short":[28],"time":[29],"window":[30],"which":[32],"persons\u2019":[33],"appearance":[34],"rarely":[35],"changes.":[36],"In":[37,101],"real-world":[38,192],"applications":[39],"such":[40],"as":[41,123],"shopping":[44],"mall,":[45],"same":[47,145,156],"may":[49,56],"change":[50],"their":[51],"wearings,":[52],"and":[53],"different":[54,148,159],"persons":[55,96],"wear":[57],"similar":[58,98],"apparel.":[59],"It":[60,178],"reveals":[61],"critical":[63],"problem":[64,107],"that":[65,182,207],"current":[66],"models":[68],"heavily":[69],"rely":[70],"on":[71],"person\u2019s":[73],"apparel,":[74],"resulting":[75],"an":[77,87,137,163],"inconsistent":[78],"performance.":[80],"Therefore,":[81],"it":[82,197],"is":[83,179],"crucial":[84],"to":[85,135,168,173,200],"learn":[86,136],"apparel-invariant":[88,138],"representation":[90,114,140],"under":[91],"clothes":[92,99],"changing":[93],"or":[94],"several":[95],"wearing":[97,147,158],"cases.":[100],"this":[102,106,120],"work,":[103],"we":[104,161],"tackle":[105],"from":[108,191],"viewpoint":[110],"invariant":[112],"feature":[113],"learning.":[115],"The":[116],"main":[117],"contributions":[118],"work":[121],"follows.":[124],"(1)":[125],"We":[126],"propose":[127,162],"semi-supervised":[129],"Apparel-invariant":[130],"Feature":[131],"Learning":[132],"(AIFL)":[133],"framework":[134],"pedestrian":[139],"using":[141],"images":[142,153,171,184],"clothes.":[149],"(2)":[150],"To":[151],"obtain":[152],"clothes,":[160],"unsupervised":[164],"apparel-simulation":[165],"GAN":[166],"(AS-GAN)":[167],"synthesize":[169,201],"cloth-changing":[170,202],"according":[172],"target":[175],"cloth":[176],"embedding.":[177],"worth":[180],"noting":[181],"used":[185],"tasks":[188],"were":[189],"cropped":[190],"low-quality":[193],"CCTV":[194],"videos,":[195],"making":[196],"more":[198],"challenging":[199],"images.":[203],"Extensive":[204],"experiments":[205],"demonstrate":[206],"our":[208],"proposal":[209],"can":[210],"improve":[211],"baseline":[217],"models.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
