{"id":"https://openalex.org/W2998776895","doi":"https://doi.org/10.1109/tmm.2020.2965491","title":"STNReID: Deep Convolutional Networks With Pairwise Spatial Transformer Networks for Partial Person Re-Identification","display_name":"STNReID: Deep Convolutional Networks With Pairwise Spatial Transformer Networks for Partial Person Re-Identification","publication_year":2020,"publication_date":"2020-01-10","ids":{"openalex":"https://openalex.org/W2998776895","doi":"https://doi.org/10.1109/tmm.2020.2965491","mag":"2998776895"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2020.2965491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.2965491","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/A5071538550","display_name":"Hao Luo","orcid":"https://orcid.org/0000-0002-6405-4011"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Luo","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, College of Control Science and Enginneering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, College of Control Science and Enginneering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002942261","display_name":"Wei Jiang","orcid":"https://orcid.org/0000-0002-9240-5851"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Jiang","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, College of Control Science and Enginneering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, College of Control Science and Enginneering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027749624","display_name":"Xing Fan","orcid":"https://orcid.org/0000-0003-2622-2210"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Fan","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, College of Control Science and Enginneering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, College of Control Science and Enginneering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111265785","display_name":"Chi Zhang","orcid":"https://orcid.org/0009-0000-0323-0715"},"institutions":[{"id":"https://openalex.org/I4401726805","display_name":"Megvii (China)","ror":"https://ror.org/040b32p69","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726805"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chi Zhang","raw_affiliation_strings":["Beijing Research Institute of Megvii Inc, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Research Institute of Megvii Inc, Beijing, China","institution_ids":["https://openalex.org/I4401726805"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071538550"],"corresponding_institution_ids":["https://openalex.org/I4391767838"],"apc_list":null,"apc_paid":null,"fwci":8.9882,"has_fulltext":false,"cited_by_count":125,"citation_normalized_percentile":{"value":0.98432144,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"22","issue":"11","first_page":"2905","last_page":"2913"},"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":0.9972000122070312,"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":0.9941999912261963,"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":0.7220355868339539},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7003987431526184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6832281351089478},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5443559885025024},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5307291150093079},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.4916289448738098},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46358418464660645},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4607464075088501},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.44445621967315674},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4346107840538025},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34274595975875854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15021532773971558},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08776113390922546},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.06791952252388}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7220355868339539},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7003987431526184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6832281351089478},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5443559885025024},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5307291150093079},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.4916289448738098},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46358418464660645},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4607464075088501},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.44445621967315674},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4346107840538025},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34274595975875854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15021532773971558},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08776113390922546},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.06791952252388},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2020.2965491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.2965491","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":[],"awards":[{"id":"https://openalex.org/G3856905517","display_name":null,"funder_award_id":"61633019","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1949591461","https://openalex.org/W1982925187","https://openalex.org/W1991452654","https://openalex.org/W2089074647","https://openalex.org/W2102605133","https://openalex.org/W2155541015","https://openalex.org/W2183341477","https://openalex.org/W2204750386","https://openalex.org/W2235916736","https://openalex.org/W2293561010","https://openalex.org/W2432402544","https://openalex.org/W2467139031","https://openalex.org/W2491664569","https://openalex.org/W2511791013","https://openalex.org/W2519373641","https://openalex.org/W2531440880","https://openalex.org/W2598634450","https://openalex.org/W2606377603","https://openalex.org/W2736410039","https://openalex.org/W2762262611","https://openalex.org/W2810967842","https://openalex.org/W2841273779","https://openalex.org/W2891175865","https://openalex.org/W2895786668","https://openalex.org/W2897450186","https://openalex.org/W2912149104","https://openalex.org/W2931208564","https://openalex.org/W2946574625","https://openalex.org/W2962923976","https://openalex.org/W2962955197","https://openalex.org/W2963047834","https://openalex.org/W2963322158","https://openalex.org/W2963330186","https://openalex.org/W2963383990","https://openalex.org/W2963438548","https://openalex.org/W2963637710","https://openalex.org/W2963696937","https://openalex.org/W2963842104","https://openalex.org/W2963901085","https://openalex.org/W2967515867","https://openalex.org/W2984145721","https://openalex.org/W2990827756","https://openalex.org/W2996695408","https://openalex.org/W3100555577","https://openalex.org/W3105077954","https://openalex.org/W4294375521","https://openalex.org/W6618372016","https://openalex.org/W6682778277","https://openalex.org/W6728374919","https://openalex.org/W6735531217","https://openalex.org/W6745280964","https://openalex.org/W6755740987"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2942366970","https://openalex.org/W2807634898","https://openalex.org/W1692008701","https://openalex.org/W2597588799","https://openalex.org/W4360593462","https://openalex.org/W2562400057"],"abstract_inverted_index":{"Partial":[0],"person":[1,13,32,36,61],"re-identification":[2],"(ReID)":[3],"is":[4,15,111,124],"a":[5,41,65,72,128],"challenging":[6],"task":[7],"because":[8],"only":[9],"partial":[10,31,44,93,132],"information":[11],"of":[12,101],"images":[14,33],"available":[16],"for":[17,131],"matching":[18,30],"target":[19],"persons.":[20],"Few":[21],"studies,":[22],"especially":[23],"on":[24,29,48,58,146],"deep":[25,43],"learning,":[26],"have":[27],"focused":[28],"with":[34,157,160],"holistic":[35,60,88],"images.":[37,107],"This":[38],"study":[39],"presents":[40],"novel":[42],"ReID":[45,73,96,119],"framework":[46],"based":[47],"pairwise":[49],"spatial":[50,66],"transformer":[51,67],"networks":[52],"(STNReID),":[53],"which":[54],"can":[55],"be":[56],"trained":[57],"existing":[59],"datasets.":[62],"STNReID":[63,130,139],"includes":[64],"network":[68],"(STN)":[69],"module":[70,77,97,116],"and":[71,105,117,121,142,148],"module.":[74],"The":[75,95],"STN":[76,115],"samples":[78],"an":[79],"affined":[80,106],"image":[81,89],"(a":[82],"semantically":[83],"corresponding":[84],"patch)":[85],"from":[86],"the":[87,92,99,102,114,118],"to":[90,126],"match":[91],"image.":[94],"extracts":[98],"features":[100],"holistic,":[103],"partial,":[104],"Competition":[108],"(or":[109],"confrontation)":[110],"observed":[112],"between":[113],"module,":[120],"two-stage":[122],"training":[123],"applied":[125],"acquire":[127],"strong":[129],"ReID.":[133],"Experimental":[134],"results":[135],"show":[136],"that":[137],"our":[138],"obtains":[140],"66.7%":[141],"54.6%":[143],"rank-1":[144],"accuracies":[145],"Partial-ReID":[147],"Partial-iLIDS":[149],"datasets,":[150],"respectively.":[151],"These":[152],"values":[153],"are":[154],"at":[155],"par":[156],"those":[158],"obtained":[159],"state-of-the-art":[161],"methods.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":36},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
