{"id":"https://openalex.org/W3110275472","doi":"https://doi.org/10.1109/tifs.2020.3036800","title":"Attribute-Aligned Domain-Invariant Feature Learning for Unsupervised Domain Adaptation Person Re-Identification","display_name":"Attribute-Aligned Domain-Invariant Feature Learning for Unsupervised Domain Adaptation Person Re-Identification","publication_year":2020,"publication_date":"2020-11-09","ids":{"openalex":"https://openalex.org/W3110275472","doi":"https://doi.org/10.1109/tifs.2020.3036800","mag":"3110275472"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2020.3036800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2020.3036800","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Information Forensics and Security","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/A5080535168","display_name":"Huafeng Li","orcid":"https://orcid.org/0000-0003-2462-6174"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huafeng Li","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439332","display_name":"Yiwen Chen","orcid":"https://orcid.org/0009-0008-8053-2272"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwen Chen","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067600725","display_name":"Dapeng Tao","orcid":"https://orcid.org/0000-0003-0783-5273"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dapeng Tao","raw_affiliation_strings":["FIST Lab, School of Information Science and Engineering, Yunnan University, Kunming, China","United Vision Innovations Technology Company Ltd., Kunming, China"],"affiliations":[{"raw_affiliation_string":"FIST Lab, School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"United Vision Innovations Technology Company Ltd., Kunming, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100619287","display_name":"Zhengtao Yu","orcid":"https://orcid.org/0000-0002-4012-461X"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengtao Yu","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006116691","display_name":"Guanqiu Qi","orcid":"https://orcid.org/0000-0001-9562-3865"},"institutions":[{"id":"https://openalex.org/I115441956","display_name":"Buffalo State University","ror":"https://ror.org/05ms04m92","country_code":"US","type":"education","lineage":["https://openalex.org/I115441956"]},{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guanqiu Qi","raw_affiliation_strings":["Computer Information Systems Department, State University of New York at Buffalo State, Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"Computer Information Systems Department, State University of New York at Buffalo State, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737","https://openalex.org/I115441956"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5080535168"],"corresponding_institution_ids":["https://openalex.org/I10660446"],"apc_list":null,"apc_paid":null,"fwci":5.9956,"has_fulltext":false,"cited_by_count":108,"citation_normalized_percentile":{"value":0.97231392,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"16","issue":null,"first_page":"1480","last_page":"1494"},"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":0.9922000169754028,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.991100013256073,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7746226787567139},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5978583097457886},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5897124409675598},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5294665098190308},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5159019231796265},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.47819069027900696},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4730191230773926},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.46521854400634766},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.43294140696525574},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4103180170059204},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11272916197776794},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.09742483496665955}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7746226787567139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5978583097457886},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5897124409675598},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5294665098190308},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5159019231796265},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.47819069027900696},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4730191230773926},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46521854400634766},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.43294140696525574},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4103180170059204},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11272916197776794},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.09742483496665955},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2020.3036800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2020.3036800","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2942072604","display_name":null,"funder_award_id":"2019FA-045","funder_id":"https://openalex.org/F4320323193","funder_display_name":"Natural Science Foundation of Yunnan Province"},{"id":"https://openalex.org/G3806987701","display_name":null,"funder_award_id":"61966021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4847711185","display_name":null,"funder_award_id":"61772455","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4942035985","display_name":null,"funder_award_id":"61562053","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5673450459","display_name":null,"funder_award_id":"U1713213","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7788721256","display_name":null,"funder_award_id":"2018YDJQ004","funder_id":"https://openalex.org/F4320324731","funder_display_name":"Yunnan University"},{"id":"https://openalex.org/G8839213910","display_name":null,"funder_award_id":"2018FY001(-013)","funder_id":"https://openalex.org/F4320323193","funder_display_name":"Natural Science Foundation of Yunnan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323193","display_name":"Natural Science Foundation of Yunnan Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324731","display_name":"Yunnan University","ror":"https://ror.org/0040axw97"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1949591461","https://openalex.org/W1982925187","https://openalex.org/W2108598243","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2433217581","https://openalex.org/W2511791013","https://openalex.org/W2585635281","https://openalex.org/W2604463754","https://openalex.org/W2616247523","https://openalex.org/W2724213014","https://openalex.org/W2751011928","https://openalex.org/W2778652957","https://openalex.org/W2791083848","https://openalex.org/W2792824754","https://openalex.org/W2793890232","https://openalex.org/W2810967842","https://openalex.org/W2896016251","https://openalex.org/W2898047322","https://openalex.org/W2904427185","https://openalex.org/W2904973725","https://openalex.org/W2909593838","https://openalex.org/W2922521335","https://openalex.org/W2943495883","https://openalex.org/W2943736748","https://openalex.org/W2946240320","https://openalex.org/W2947319827","https://openalex.org/W2948582784","https://openalex.org/W2950059123","https://openalex.org/W2953214814","https://openalex.org/W2957037461","https://openalex.org/W2962859295","https://openalex.org/W2963000559","https://openalex.org/W2963047834","https://openalex.org/W2963067443","https://openalex.org/W2963557071","https://openalex.org/W2963893396","https://openalex.org/W2964121744","https://openalex.org/W2965428945","https://openalex.org/W2967515867","https://openalex.org/W2968039979","https://openalex.org/W2970390221","https://openalex.org/W2971402774","https://openalex.org/W2971430898","https://openalex.org/W2972421866","https://openalex.org/W2979938149","https://openalex.org/W2980827638","https://openalex.org/W2983439844","https://openalex.org/W2983640911","https://openalex.org/W2987191133","https://openalex.org/W2988852559","https://openalex.org/W2994331917","https://openalex.org/W2994675267","https://openalex.org/W2995852213","https://openalex.org/W2996988779","https://openalex.org/W2997114618","https://openalex.org/W2998126692","https://openalex.org/W2998792609","https://openalex.org/W3003755145","https://openalex.org/W3006871679","https://openalex.org/W3007744269","https://openalex.org/W3009761962","https://openalex.org/W3010015985","https://openalex.org/W3013664265","https://openalex.org/W3022252838","https://openalex.org/W3034903425","https://openalex.org/W3035221416","https://openalex.org/W3036415234","https://openalex.org/W3047363187","https://openalex.org/W3080606204","https://openalex.org/W3087658752","https://openalex.org/W3100927979","https://openalex.org/W3102564565","https://openalex.org/W3108381568","https://openalex.org/W6631190155","https://openalex.org/W6771395016","https://openalex.org/W6771548153","https://openalex.org/W6771967508","https://openalex.org/W6781017932"],"related_works":["https://openalex.org/W4389474468","https://openalex.org/W3174759195","https://openalex.org/W4300172004","https://openalex.org/W3203792196","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3167013339","https://openalex.org/W3180787869","https://openalex.org/W4287121366","https://openalex.org/W2955455867"],"abstract_inverted_index":{"Domain":[0],"invariance":[1],"and":[2,58,63,91,97,131,152,173,207,211,249,257],"discrimination":[3,193],"of":[4,14,52,69,85,88,94,107,117,128,134,142,181,188,194,214,235,246,267],"learned":[5,195],"features":[6,71,102,121,164],"as":[7,25,38,178],"two":[8,47,77,233],"crucial":[9],"factors":[10],"affect":[11,66],"the":[12,67,75,86,92,98,105,111,115,126,132,139,147,179,186,192,197,202,212,215,231,238,243,251,268],"performance":[13],"unsupervised":[15],"domain":[16,59,169],"adaptation":[17],"(UDA)":[18],"person":[19,44,89,95,129,135,150,155,182,205,217,255],"re-identification":[20],"(Re-ID).":[21],"Person":[22],"attributes":[23,90,96,136,151,156,183,206,218,256],"(such":[24],"\u201cbackpack\u201d,":[26],"\u201cboots\u201d,":[27],"\u201chandbag\u201d,":[28],"etc)":[29],"remaining":[30],"unchanged":[31],"across":[32,55,219,261],"multiple":[33,56,220,262],"domains":[34,65],"have":[35],"been":[36],"used":[37,177,228],"mid-level":[39],"visual-semantic":[40],"information":[41,170,248],"in":[42,171,237],"UDA":[43],"Re-ID.":[45],"As":[46],"main":[48],"challenges,":[49,78],"both":[50],"misalignment":[51],"attribute-related":[53],"regions":[54,141,260],"images":[57],"shift":[60],"between":[61,149,204,254],"source":[62],"target":[64],"learning":[68,106,124,187],"domain-invariant":[70],"(DIF).":[72],"To":[73,190],"address":[74],"above":[76,232],"this":[79],"article":[80],"proposes":[81],"to":[82,103,138,146,184,229],"take":[83],"advantage":[84],"stability":[87],"complementarity":[93],"corresponding":[99,137,208,258],"low-level":[100],"visual":[101,120,153,163],"guide":[104,185],"discriminative":[108],"DIF.":[109,189],"Specifically,":[110],"proposed":[112,198,239,269],"solution":[113,199,270],"contains":[114],"generation":[116],"latent":[118,161],"attribute-correlated":[119,162],"(GLAVF),":[122],"DIF":[123],"under":[125],"guidance":[127],"attributes,":[130],"alignment":[133,203,213,236],"local":[140,209,259],"pedestrian":[143,221,263],"images.":[144,222,264],"Due":[145],"gap":[148],"features,":[154,196],"are":[157,176],"first":[158],"converted":[159],"into":[160],"(LAVF)":[165],"without":[166],"any":[167],"specific":[168],"GLAVF,":[172],"then":[174],"LAVF":[175],"substitutions":[180],"enhance":[191],"mainly":[200],"explores":[201],"regions,":[210],"same":[216],"A":[223],"fully":[224],"connected":[225],"layer":[226],"is":[227,271],"achieve":[230],"types":[234],"framework,":[240],"which":[241],"reduces":[242],"adverse":[244],"impacts":[245],"inference":[247],"ensures":[250],"semantic":[252],"consistency":[253],"The":[265],"effectiveness":[266],"confirmed":[272],"on":[273],"four":[274],"existing":[275],"datasets":[276],"by":[277],"comparative":[278],"experiments.":[279]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":18}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}