{"id":"https://openalex.org/W4409895886","doi":"https://doi.org/10.1145/3718751.3718848","title":"A Joint Generative Discriminant Network for Person Re-identification with Limited Computing Resources","display_name":"A Joint Generative Discriminant Network for Person Re-identification with Limited Computing Resources","publication_year":2024,"publication_date":"2024-11-15","ids":{"openalex":"https://openalex.org/W4409895886","doi":"https://doi.org/10.1145/3718751.3718848"},"language":"en","primary_location":{"id":"doi:10.1145/3718751.3718848","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3718751.3718848","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 4th International Conference on Big Data, Artificial Intelligence and Risk Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3718751.3718848","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008911008","display_name":"Junping Yao","orcid":"https://orcid.org/0000-0001-6090-2274"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Yao","raw_affiliation_strings":["Xi?an Research Institute of High-Tech, Xi?an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0001-6090-2274","affiliations":[{"raw_affiliation_string":"Xi?an Research Institute of High-Tech, Xi?an, Shaanxi, China","institution_ids":["https://openalex.org/I4210130660"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hao Wang","orcid":"https://orcid.org/0009-0004-9972-6369"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Xi?an Research Institute of High-Tech, Xi?an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0004-9972-6369","affiliations":[{"raw_affiliation_string":"Xi?an Research Institute of High-Tech, Xi?an, Shaanxi, China","institution_ids":["https://openalex.org/I4210130660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618624","display_name":"Xiaojun Li","orcid":"https://orcid.org/0000-0001-8638-636X"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Li","raw_affiliation_strings":["Xi?an Research Institute of High-Tech, Xi?an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0001-8638-636X","affiliations":[{"raw_affiliation_string":"Xi?an Research Institute of High-Tech, Xi?an, Shaanxi, China","institution_ids":["https://openalex.org/I4210130660"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zebin Yang","orcid":"https://orcid.org/0009-0006-1770-7936"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zebin Yang","raw_affiliation_strings":["Xi?an Research Institute of High-Tech, Xi?an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0006-1770-7936","affiliations":[{"raw_affiliation_string":"Xi?an Research Institute of High-Tech, Xi?an, Shaanxi, China","institution_ids":["https://openalex.org/I4210130660"]}]},{"author_position":"last","author":{"id":null,"display_name":"Haifeng Sun","orcid":"https://orcid.org/0009-0009-9851-3093"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Sun","raw_affiliation_strings":["Xi?an Research Institute of High-Tech, Xi?an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0009-9851-3093","affiliations":[{"raw_affiliation_string":"Xi?an Research Institute of High-Tech, Xi?an, Shaanxi, China","institution_ids":["https://openalex.org/I4210130660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27601578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"612","last_page":"616"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9789999723434448,"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/T11448","display_name":"Face recognition and analysis","score":0.9767000079154968,"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":0.7470524311065674},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6589936017990112},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6195769309997559},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6015434861183167},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.5988383293151855},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5953825116157532},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5124979019165039},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4798804819583893},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37058860063552856},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10493549704551697}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7470524311065674},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6589936017990112},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6195769309997559},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6015434861183167},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.5988383293151855},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5953825116157532},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5124979019165039},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4798804819583893},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37058860063552856},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10493549704551697},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3718751.3718848","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3718751.3718848","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 4th International Conference on Big Data, Artificial Intelligence and Risk Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3718751.3718848","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3718751.3718848","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 4th International Conference on Big Data, Artificial Intelligence and Risk Management","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W3006361831","https://openalex.org/W3185341429","https://openalex.org/W3201915713","https://openalex.org/W4200635168","https://openalex.org/W4254597567","https://openalex.org/W4386047745"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W1999647744","https://openalex.org/W2362114017","https://openalex.org/W3147024994","https://openalex.org/W2063246903","https://openalex.org/W2374055396","https://openalex.org/W1978302214","https://openalex.org/W2021817983","https://openalex.org/W2104382484","https://openalex.org/W3008559849"],"abstract_inverted_index":{"Traditional":[0],"methods":[1],"for":[2],"Person":[3],"Re-identification":[4],"(Re-ID)":[5],"often":[6,38],"achieve":[7,149],"high":[8,165],"accuracy":[9,166],"at":[10,94],"the":[11,33,41,44,58,71,83,95,98,113,124,127,133,137,141,156,168],"cost":[12],"of":[13,35,43,97,112,126,158,167],"huge":[14],"computational":[15],"resources,":[16],"and":[17,75,101,136,152],"their":[18],"application":[19],"is":[20,92],"severely":[21],"limited":[22],"under":[23],"low":[24],"computing":[25],"resources.":[26],"Previous":[27],"studies":[28],"have":[29],"shown":[30],"that":[31,57,140],"reducing":[32,155],"number":[34,157],"model":[36,143,159],"parameters":[37,160],"significantly":[39],"degrades":[40],"performance":[42,125],"model.":[45,170],"Based":[46],"on":[47,132],"this,":[48],"we":[49],"constructs":[50],"a":[51,89,109],"lightweight":[52],"joint":[53],"generative":[54],"discriminant":[55],"network,":[56],"maximum":[59],"pooling":[60,73,105],"layer":[61,74,78,91,106],"after":[62,79],"group":[63],"convolution":[64],"point":[65],"by":[66,161],"point,":[67],"as":[68,70],"well":[69],"global":[72],"fully":[76],"connected":[77],"channel":[80],"shuffle":[81],"in":[82,120,145],"fourth":[84,99],"stage,":[85,100],"are":[86],"removed.":[87],"Then,":[88],"convolutional":[90],"added":[93],"end":[96],"use":[102],"an":[103],"adaptive":[104],"to":[107,122],"output":[108],"feature":[110],"map":[111],"expected":[114],"dimension,":[115],"while":[116,163],"applying":[117],"knowledge":[118],"distillation":[119],"training":[121],"improve":[123],"network.":[128],"We":[129],"conducted":[130],"experiments":[131],"Market-1501":[134],"dataset,":[135],"results":[138],"indicate":[139],"network":[142],"proposed":[144],"this":[146],"paper":[147],"can":[148],"91.9%":[150],"Rank-1":[151],"77.3%":[153],"mAP,":[154],"82%":[162],"maintaining":[164],"original":[169]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
