{"id":"https://openalex.org/W2892303886","doi":"https://doi.org/10.1109/icip.2018.8451129","title":"Improving Person Re-Identification by Adaptive Hard Sample Mining","display_name":"Improving Person Re-Identification by Adaptive Hard Sample Mining","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2892303886","doi":"https://doi.org/10.1109/icip.2018.8451129","mag":"2892303886"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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/A5020440050","display_name":"Kezhou Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kezhou Chen","raw_affiliation_strings":["Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350437","display_name":"Yang Chen","orcid":"https://orcid.org/0000-0002-5660-6349"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Chen","raw_affiliation_strings":["Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028601916","display_name":"Chuchu Han","orcid":"https://orcid.org/0000-0001-9403-353X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuchu Han","raw_affiliation_strings":["Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013734579","display_name":"Nong Sang","orcid":"https://orcid.org/0000-0002-9167-1496"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nong Sang","raw_affiliation_strings":["Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035295689","display_name":"Changxin Gao","orcid":"https://orcid.org/0000-0003-2736-3920"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changxin Gao","raw_affiliation_strings":["Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100746361","display_name":"Ruolin Wang","orcid":"https://orcid.org/0000-0003-0281-7631"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruolin Wang","raw_affiliation_strings":["School of Civil Engineering, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5020440050"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.4178,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.67277277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"3","issue":null,"first_page":"1638","last_page":"1642"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.994700014591217,"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":0.9855999946594238,"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":0.6602342128753662},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6556107997894287},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.505082905292511},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32819271087646484}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6602342128753662},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6556107997894287},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.505082905292511},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32819271087646484},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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:10.1109/icip.2018.8451129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W46454230","https://openalex.org/W1928419358","https://openalex.org/W1949591461","https://openalex.org/W1982925187","https://openalex.org/W2068042582","https://openalex.org/W2125447566","https://openalex.org/W2135442311","https://openalex.org/W2155893237","https://openalex.org/W2204750386","https://openalex.org/W2300840837","https://openalex.org/W2467139031","https://openalex.org/W2491664569","https://openalex.org/W2502225121","https://openalex.org/W2511791013","https://openalex.org/W2520433280","https://openalex.org/W2583528645","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2598634450","https://openalex.org/W2604463754","https://openalex.org/W2608456260","https://openalex.org/W2762262611","https://openalex.org/W2950094539","https://openalex.org/W2963516811","https://openalex.org/W2963637710","https://openalex.org/W3098711604","https://openalex.org/W6601887387","https://openalex.org/W6722869231","https://openalex.org/W6725558437","https://openalex.org/W6726951882","https://openalex.org/W6736851446","https://openalex.org/W6784740494"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"The":[0],"field":[1],"of":[2,13,119,126,169,184],"person":[3,80],"reidentification":[4],"has":[5,159],"made":[6],"significant":[7],"advances":[8],"riding":[9],"on":[10,175],"the":[11,19,35,42,49,58,62,87,90,94,107,112,116,120,131,145,152,157,182,185],"wave":[12],"deep":[14],"learning.":[15],"However,":[16],"owing":[17],"to":[18,38,56,155],"fact":[20],"that":[21,163],"there":[22],"are":[23],"much":[24],"more":[25],"easy":[26],"examples":[27,32],"than":[28],"those":[29],"meaningful":[30],"hard":[31,50,108,127],"in":[33,89,136],"dataset,":[34],"training":[36,77,139],"tends":[37],"stagnate":[39],"quickly":[40],"and":[41,60,100,147,177],"model":[43,59],"may":[44],"suffer":[45],"from":[46],"over-fitting.":[47],"Therefore,":[48],"sample":[51],"mining":[52],"method":[53],"is":[54,74],"fateful":[55],"optimize":[57],"improve":[61],"learning":[63],"efficiency.":[64],"In":[65],"this":[66],"paper,":[67],"an":[68,123],"Adaptive":[69],"Hard":[70],"Sample":[71],"Mining":[72],"algorithm":[73,132],"proposed":[75,186],"for":[76,85,97],"a":[78],"robust":[79],"re-identification":[81],"model.":[82],"No":[83],"need":[84],"hand-picking":[86],"images":[88],"batch":[91],"or":[92],"designing":[93],"loss":[95],"function":[96],"both":[98],"positive":[99],"negative":[101],"pairs,":[102],"we":[103],"can":[104,129,164],"briefly":[105],"calculate":[106],"level":[109,128],"by":[110],"comparing":[111],"prediction":[113],"result":[114],"with":[115,138,167],"true":[117],"label":[118],"sample.":[121],"Meanwhile,":[122],"adaptive":[124],"threshold":[125],"make":[130],"not":[133],"only":[134],"stay":[135],"step":[137],"process":[140],"harmoniously":[141],"but":[142],"also":[143],"alleviate":[144],"under-fitting":[146],"over-fitting":[148],"problem":[149],"simultaneously.":[150],"Besides,":[151],"designed":[153],"network":[154],"implement":[156],"approach":[158],"good":[160],"generalization":[161],"performance":[162],"be":[165],"combined":[166],"various":[168],"existing":[170],"models":[171],"readily.":[172],"Experimental":[173],"results":[174],"Market-1501":[176],"DukeMTMC-reID":[178],"datasets":[179],"clearly":[180],"demonstrate":[181],"effectiveness":[183],"algorithm.":[187]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}