{"id":"https://openalex.org/W2586899202","doi":"https://doi.org/10.1109/tpami.2017.2666805","title":"Person Re-Identification by Camera Correlation Aware Feature Augmentation","display_name":"Person Re-Identification by Camera Correlation Aware Feature Augmentation","publication_year":2017,"publication_date":"2017-02-09","ids":{"openalex":"https://openalex.org/W2586899202","doi":"https://doi.org/10.1109/tpami.2017.2666805","mag":"2586899202","pmid":"https://pubmed.ncbi.nlm.nih.gov/28207383"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2017.2666805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2666805","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1703.08837","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101938761","display_name":"Ying-Cong Chen","orcid":"https://orcid.org/0000-0002-9565-8205"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]},{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Ying-Cong Chen","raw_affiliation_strings":["Collaborative Innovation Center of High Performance Computing, National University of Defense Technology, Changsha, China","Department of Computer Science and Engineering, Chinese University of Hong Kong, Sha Tin, Hong Kong","School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of High Performance Computing, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Chinese University of Hong Kong, Sha Tin, Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028643592","display_name":"Xiatian Zhu","orcid":"https://orcid.org/0000-0002-9284-2955"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Xiatian Zhu","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China","School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108050904","display_name":"Wei\u2010Shi Zheng","orcid":"https://orcid.org/0000-0001-8327-0003"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Shi Zheng","raw_affiliation_strings":["Key Laboratory of Machine Intelligence and Advanced Computing, Sun Yat-Sen University, Ministry of Education, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8327-0003","affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, Sun Yat-Sen University, Ministry of Education, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034685928","display_name":"Jianhuang Lai","orcid":"https://orcid.org/0000-0003-3883-2024"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210098034","display_name":"Key Laboratory of Guangdong Province","ror":"https://ror.org/00swtqp09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian-Huang Lai","raw_affiliation_strings":["Guangdong Province Key Laboratory of Information Security, Guangzhou, P. R. China","School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3883-2024","affiliations":[{"raw_affiliation_string":"Guangdong Province Key Laboratory of Information Security, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I4210098034"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":16.6858,"has_fulltext":false,"cited_by_count":343,"citation_normalized_percentile":{"value":0.99354712,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"40","issue":"2","first_page":"392","last_page":"408"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9955999851226807,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9954000115394592,"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":0.7540955543518066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7138638496398926},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6902263760566711},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6203657984733582},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5961004495620728},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5130487680435181},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49284911155700684},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4726856052875519},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.46671006083488464},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43637409806251526},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42999938130378723}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7540955543518066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7138638496398926},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6902263760566711},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6203657984733582},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5961004495620728},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5130487680435181},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49284911155700684},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4726856052875519},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46671006083488464},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43637409806251526},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42999938130378723},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2017.2666805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2666805","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:28207383","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28207383","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:arXiv.org:1703.08837","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.08837","pdf_url":"https://arxiv.org/pdf/1703.08837","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1703.08837","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.08837","pdf_url":"https://arxiv.org/pdf/1703.08837","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"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":111,"referenced_works":["https://openalex.org/W41482161","https://openalex.org/W42769906","https://openalex.org/W46454230","https://openalex.org/W166429404","https://openalex.org/W760855798","https://openalex.org/W1518138188","https://openalex.org/W1602182271","https://openalex.org/W1686810756","https://openalex.org/W1709635438","https://openalex.org/W1815811802","https://openalex.org/W1849277567","https://openalex.org/W1851109429","https://openalex.org/W1911311607","https://openalex.org/W1916279783","https://openalex.org/W1920259731","https://openalex.org/W1927348918","https://openalex.org/W1928419358","https://openalex.org/W1935207225","https://openalex.org/W1949591461","https://openalex.org/W1971955426","https://openalex.org/W1979260620","https://openalex.org/W1982925187","https://openalex.org/W1991209141","https://openalex.org/W1991452654","https://openalex.org/W2009907187","https://openalex.org/W2014764728","https://openalex.org/W2014850105","https://openalex.org/W2022469758","https://openalex.org/W2042436258","https://openalex.org/W2043409787","https://openalex.org/W2046385669","https://openalex.org/W2046835352","https://openalex.org/W2048110836","https://openalex.org/W2068042582","https://openalex.org/W2070264454","https://openalex.org/W2075295044","https://openalex.org/W2079972027","https://openalex.org/W2085269372","https://openalex.org/W2089074647","https://openalex.org/W2096306138","https://openalex.org/W2097117768","https://openalex.org/W2098807270","https://openalex.org/W2102605133","https://openalex.org/W2106053110","https://openalex.org/W2115403315","https://openalex.org/W2115669554","https://openalex.org/W2117060632","https://openalex.org/W2120354757","https://openalex.org/W2120773774","https://openalex.org/W2125889200","https://openalex.org/W2126017757","https://openalex.org/W2126791727","https://openalex.org/W2130556178","https://openalex.org/W2134262590","https://openalex.org/W2141581971","https://openalex.org/W2144664362","https://openalex.org/W2151065677","https://openalex.org/W2151873133","https://openalex.org/W2155541015","https://openalex.org/W2157136277","https://openalex.org/W2160776381","https://openalex.org/W2162854380","https://openalex.org/W2163605009","https://openalex.org/W2169495281","https://openalex.org/W2170607218","https://openalex.org/W2204750386","https://openalex.org/W2213726222","https://openalex.org/W2220271458","https://openalex.org/W2235916736","https://openalex.org/W2253171278","https://openalex.org/W2256680489","https://openalex.org/W2258844511","https://openalex.org/W2300840837","https://openalex.org/W2326772079","https://openalex.org/W2342514851","https://openalex.org/W2342611082","https://openalex.org/W2344622006","https://openalex.org/W2344924411","https://openalex.org/W2346369283","https://openalex.org/W2433217581","https://openalex.org/W2441160157","https://openalex.org/W2467139031","https://openalex.org/W2471048925","https://openalex.org/W2474013209","https://openalex.org/W2475284720","https://openalex.org/W2491664569","https://openalex.org/W2502225121","https://openalex.org/W2511556322","https://openalex.org/W2519338267","https://openalex.org/W2550580161","https://openalex.org/W2798909945","https://openalex.org/W3098057481","https://openalex.org/W3099224353","https://openalex.org/W3146885639","https://openalex.org/W3148981562","https://openalex.org/W4294375521","https://openalex.org/W4317524344","https://openalex.org/W6601733005","https://openalex.org/W6601780863","https://openalex.org/W6636160605","https://openalex.org/W6637373629","https://openalex.org/W6638809929","https://openalex.org/W6639204139","https://openalex.org/W6675751002","https://openalex.org/W6677587182","https://openalex.org/W6682286002","https://openalex.org/W6682778277","https://openalex.org/W6683721463","https://openalex.org/W6684191040","https://openalex.org/W6724544503","https://openalex.org/W6726612147"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W2167092671","https://openalex.org/W1861706286","https://openalex.org/W2905271011","https://openalex.org/W2793270624","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579","https://openalex.org/W4298151006"],"abstract_inverted_index":{"The":[0],"challenge":[1],"of":[2,11,32,99,170,253],"person":[3,14,91,200,224,263],"re-identification":[4,92],"(re-id)":[5],"is":[6,228],"to":[7,60,129,150,180,193,231,247],"match":[8],"individual":[9],"images":[10],"the":[12,42,56,95,131,168,249],"same":[13],"captured":[15],"by":[16,114,240],"different":[17],"non-overlapping":[18],"camera":[19,62,117],"views":[20],"against":[21],"significant":[22],"and":[23,49,124,152,251],"unknown":[24],"cross-view":[25,43,112,120,238],"feature":[26,57,66,96,127,197],"distortion.":[27],"While":[28],"a":[29,88,135,203,211,221],"large":[30,204],"number":[31],"distance":[33],"metric/subspace":[34],"learning":[35,144,173],"models":[36],"have":[37],"been":[38],"developed":[39],"for":[40,68,80,199,236],"re-id,":[41],"transformations":[44,67,198],"they":[45],"learned":[46],"are":[47],"view-generic":[48,143,159,171],"thus":[50],"potentially":[51],"less":[52],"effective":[53,178],"in":[54],"quantifying":[55],"distortion":[58],"inherent":[59],"each":[61],"view.":[63],"Learning":[64],"view-specific":[65,71,90,154,196],"re-id":[69,201,216,264],"(i.e.,":[70],"re-id),":[72],"an":[73,77,177],"under-studied":[74],"approach,":[75],"becomes":[76],"alternative":[78],"resort":[79],"this":[81,84],"problem.":[82],"In":[83],"work,":[85],"we":[86,219],"formulate":[87],"novel":[89],"framework":[93,164,189,256],"from":[94,119],"augmentation":[97,128,141],"point":[98],"view,":[100],"called":[101],"Camera":[102],"coR":[103],"relation":[104],"Aware":[105],"Feature":[106],"augmenTation":[107],"(CRAFT).":[108],"Specifically,":[109],"CRAFT":[110,188],"performs":[111],"adaptation":[113,239],"automatically":[115],"measuring":[116],"correlation":[118],"visual":[121],"data":[122],"distribution":[123],"adaptively":[125],"conducting":[126],"transform":[130],"original":[132],"features":[133],"into":[134,182],"new":[136],"adaptive":[137],"space.":[138],"Through":[139],"our":[140,163,254],"framework,":[142],"algorithms":[145],"can":[146,190],"be":[147,191,232],"readily":[148],"generalized":[149],"learn":[151,195],"optimize":[153],"sub-models":[155],"whilst":[156],"simultaneously":[157],"modelling":[158],"discrimination":[160],"information.":[161],"Therefore,":[162],"not":[165],"only":[166],"inherits":[167],"strength":[169],"model":[172],"but":[174,214],"also":[175],"provides":[176],"way":[179],"take":[181],"account":[183],"view":[184,234],"specific":[185],"characteristics.":[186],"Our":[187],"extended":[192],"jointly":[194],"across":[202],"network":[205],"with":[206],"more":[207],"than":[208],"two":[209],"cameras,":[210],"largely":[212],"under-investigated":[213],"realistic":[215],"setting.":[217],"Additionally,":[218],"present":[220],"domain-generic":[222],"deep":[223],"appearance":[225],"representation":[226],"which":[227],"designed":[229],"particularly":[230],"towards":[233],"invariant":[235],"facilitating":[237],"CRAFT.":[241],"We":[242],"conducted":[243],"extensively":[244],"comparative":[245],"experiments":[246],"validate":[248],"superiority":[250],"advantages":[252],"proposed":[255],"over":[257],"state-of-the-art":[258],"competitors":[259],"on":[260],"contemporary":[261],"challenging":[262],"datasets.":[265]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":38},{"year":2022,"cited_by_count":29},{"year":2021,"cited_by_count":43},{"year":2020,"cited_by_count":45},{"year":2019,"cited_by_count":79},{"year":2018,"cited_by_count":47},{"year":2017,"cited_by_count":14}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}