{"id":"https://openalex.org/W3089771107","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207712","title":"Improving the Style Adaptation for Unsupervised Cross-Domain Person Re-identification","display_name":"Improving the Style Adaptation for Unsupervised Cross-Domain Person Re-identification","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3089771107","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207712","mag":"3089771107"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5100339832","display_name":"Wenyuan Zhang","orcid":"https://orcid.org/0000-0002-7287-6883"},"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":true,"raw_author_name":"Wenyuan Zhang","raw_affiliation_strings":["School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Software Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100635252","display_name":"Li Zhu","orcid":"https://orcid.org/0000-0003-2136-3196"},"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":"Li Zhu","raw_affiliation_strings":["School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Software Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100366008","display_name":"Lu Lu","orcid":"https://orcid.org/0000-0001-7812-7659"},"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":"Lu Lu","raw_affiliation_strings":["School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Software Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100339832"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.0977,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.40471869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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":0.9947999715805054,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9916999936103821,"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":0.8002216219902039},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.671529233455658},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5908315181732178},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.5828133821487427},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.553460955619812},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5416269302368164},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48938673734664917},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.47564172744750977},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4641730785369873},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45213523507118225},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4413672983646393},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4386191666126251},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4039633572101593},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07445338368415833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8002216219902039},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.671529233455658},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5908315181732178},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.5828133821487427},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.553460955619812},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5416269302368164},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48938673734664917},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.47564172744750977},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4641730785369873},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45213523507118225},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4413672983646393},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4386191666126251},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4039633572101593},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07445338368415833},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1882958252","https://openalex.org/W1949591461","https://openalex.org/W1979260620","https://openalex.org/W2009907187","https://openalex.org/W2099471712","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2327827989","https://openalex.org/W2441160157","https://openalex.org/W2467139031","https://openalex.org/W2511791013","https://openalex.org/W2531440880","https://openalex.org/W2553897675","https://openalex.org/W2585635281","https://openalex.org/W2593768305","https://openalex.org/W2598634450","https://openalex.org/W2618353479","https://openalex.org/W2736410039","https://openalex.org/W2754126974","https://openalex.org/W2770076563","https://openalex.org/W2783000019","https://openalex.org/W2887057599","https://openalex.org/W2896016251","https://openalex.org/W2904427185","https://openalex.org/W2947319827","https://openalex.org/W2962691289","https://openalex.org/W2962793481","https://openalex.org/W2963000559","https://openalex.org/W2963047834","https://openalex.org/W2963289251","https://openalex.org/W2963557071","https://openalex.org/W2963575739","https://openalex.org/W2963684088","https://openalex.org/W2963721283","https://openalex.org/W2963805953","https://openalex.org/W2963826681","https://openalex.org/W2963852441","https://openalex.org/W2963975998","https://openalex.org/W2963983343","https://openalex.org/W2964121744","https://openalex.org/W4289086653","https://openalex.org/W4293398859","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6639480849","https://openalex.org/W6640668838","https://openalex.org/W6685352114","https://openalex.org/W6687483927","https://openalex.org/W6701311708","https://openalex.org/W6725558437","https://openalex.org/W6728374919","https://openalex.org/W6730095352","https://openalex.org/W6735531217","https://openalex.org/W6738494189","https://openalex.org/W6745799943","https://openalex.org/W6746131018","https://openalex.org/W6746204344","https://openalex.org/W6746689163","https://openalex.org/W6750126447","https://openalex.org/W6752477645","https://openalex.org/W6757445361"],"related_works":["https://openalex.org/W3174759195","https://openalex.org/W3167013339","https://openalex.org/W4287121366","https://openalex.org/W60493759","https://openalex.org/W4308619659","https://openalex.org/W4309346246","https://openalex.org/W3213069564","https://openalex.org/W2950240247","https://openalex.org/W2890663137","https://openalex.org/W4378421684"],"abstract_inverted_index":{"Most":[0],"existing":[1],"person":[2,57],"re-identification":[3],"(Re-ID)":[4],"methods":[5,157],"are":[6,19,100],"based":[7],"on":[8],"supervised":[9],"learning,":[10],"in":[11,34],"which":[12,99,138],"a":[13,26,31,35,108,132],"large":[14],"amount":[15],"of":[16,65,162,169],"labeled":[17,36],"data":[18],"required":[20],"for":[21,29,62,103],"training.":[22],"However,":[23],"it":[24],"remains":[25],"challenge":[27],"task":[28,64],"adapting":[30],"model":[32],"trained":[33],"source":[37],"domain":[38,47,67,120,171],"to":[39,45,80,117,142],"an":[40,55,77,128],"unlabeled":[41],"target":[42],"domain,":[43],"due":[44],"the":[46,63,72,86,93,119,140,144,160,163,167],"gap.":[48,121],"To":[49,84],"alleviate":[50],"this":[51,106],"problem,":[52],"we":[53,74,91],"design":[54],"unsupervised":[56,66,170],"style":[58],"transfer":[59],"adaptation":[60,68],"pipeline":[61],"(UDA)":[69],"Re-ID.":[70,104],"Following":[71],"pipeline,":[73],"first":[75],"apply":[76],"image":[78,129],"translator":[79,130],"generate":[81],"style-transferred":[82],"images.":[83],"preserve":[85],"ID-related":[87],"information":[88],"after":[89],"translation,":[90],"introduce":[92],"intra-class":[94,145],"similarity":[95,146],"and":[96,131,147],"inter-domain":[97,148],"diversity,":[98],"crucial":[101],"properties":[102],"In":[105],"way,":[107],"Cross-domain":[109],"Similarity":[110],"Generative":[111],"Adversarial":[112],"Network":[113],"(CSGAN)":[114],"is":[115,123],"proposed":[116,164],"bridge":[118],"CSGAN":[122,141],"learned":[124],"by":[125],"jointly":[126],"optimizing":[127],"domain-invariant":[133],"feature":[134],"representation":[135],"network":[136],"(DIFRN),":[137],"constrains":[139],"maintain":[143],"diversity":[149],"during":[150],"image-image":[151],"translation.":[152],"Comparison":[153],"with":[154],"current":[155],"competitive":[156],"demonstrates":[158],"that":[159],"effectiveness":[161],"method":[165],"under":[166],"setting":[168],"adaptation.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
