{"id":"https://openalex.org/W3114393917","doi":"https://doi.org/10.1109/tip.2020.3046904","title":"ES-Net: Erasing Salient Parts to Learn More in Re-Identification","display_name":"ES-Net: Erasing Salient Parts to Learn More in Re-Identification","publication_year":2020,"publication_date":"2020-12-31","ids":{"openalex":"https://openalex.org/W3114393917","doi":"https://doi.org/10.1109/tip.2020.3046904","mag":"3114393917","pmid":"https://pubmed.ncbi.nlm.nih.gov/33382657"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.3046904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3046904","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/2103.05918","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026403327","display_name":"Dong Shen","orcid":"https://orcid.org/0000-0001-5592-8453"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dong Shen","raw_affiliation_strings":["State Key Laboratory of Computer-Aided Design (CAD) and Computer Graphics (CG), Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer-Aided Design (CAD) and Computer Graphics (CG), Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100694827","display_name":"Shuai Zhao","orcid":"https://orcid.org/0000-0003-1320-4283"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Zhao","raw_affiliation_strings":["State Key Laboratory of Computer-Aided Design (CAD) and Computer Graphics (CG), Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer-Aided Design (CAD) and Computer Graphics (CG), Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110795297","display_name":"Jinming Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinming Hu","raw_affiliation_strings":["State Key Laboratory of Computer-Aided Design (CAD) and Computer Graphics (CG), Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer-Aided Design (CAD) and Computer Graphics (CG), Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101865230","display_name":"Hao Feng","orcid":"https://orcid.org/0000-0001-5775-0097"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Feng","raw_affiliation_strings":["State Key Laboratory of Computer-Aided Design (CAD) and Computer Graphics (CG), Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer-Aided Design (CAD) and Computer Graphics (CG), Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037942269","display_name":"Deng Cai","orcid":"https://orcid.org/0000-0001-9817-4065"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deng Cai","raw_affiliation_strings":["Alibaba-Zhejiang University Joint Institute of Frontier Technologies, Hangzhou, China","State Key Laboratory of Computer-Aided Design (CAD) and Computer Graphics (CG), Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba-Zhejiang University Joint Institute of Frontier Technologies, Hangzhou, China","institution_ids":["https://openalex.org/I45928872","https://openalex.org/I76130692"]},{"raw_affiliation_string":"State Key Laboratory of Computer-Aided Design (CAD) and Computer Graphics (CG), Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102013345","display_name":"Xiaofei He","orcid":"https://orcid.org/0009-0001-9107-2354"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofei He","raw_affiliation_strings":["State Key Laboratory of Computer-Aided Design (CAD) and Computer Graphics (CG), Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer-Aided Design (CAD) and Computer Graphics (CG), Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5026403327"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":1.7664,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.87579364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"30","issue":null,"first_page":"1676","last_page":"1686"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9961000084877014,"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/salient","display_name":"Salient","score":0.9137470722198486},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.8706742525100708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6572490930557251},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5845922231674194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5608112812042236},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4991295337677002},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.478506475687027},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.42745786905288696},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42346012592315674},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41604623198509216},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3214762508869171},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18513408303260803}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.9137470722198486},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8706742525100708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6572490930557251},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5845922231674194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5608112812042236},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4991295337677002},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.478506475687027},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.42745786905288696},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42346012592315674},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41604623198509216},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3214762508869171},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18513408303260803},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2020.3046904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3046904","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:33382657","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33382657","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:2103.05918","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.05918","pdf_url":"https://arxiv.org/pdf/2103.05918","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:2103.05918","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.05918","pdf_url":"https://arxiv.org/pdf/2103.05918","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":[],"awards":[{"id":"https://openalex.org/G2861150812","display_name":null,"funder_award_id":"62036009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7071169373","display_name":null,"funder_award_id":"61936006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7762118927","display_name":null,"funder_award_id":"U1909203","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":60,"referenced_works":["https://openalex.org/W1833123814","https://openalex.org/W2174726731","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2204975001","https://openalex.org/W2295107390","https://openalex.org/W2470322391","https://openalex.org/W2511791013","https://openalex.org/W2519904008","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2590973145","https://openalex.org/W2605212061","https://openalex.org/W2747685395","https://openalex.org/W2749235995","https://openalex.org/W2756012011","https://openalex.org/W2765793020","https://openalex.org/W2779954854","https://openalex.org/W2788212895","https://openalex.org/W2795758732","https://openalex.org/W2799251491","https://openalex.org/W2885476150","https://openalex.org/W2909593838","https://openalex.org/W2930967833","https://openalex.org/W2948383821","https://openalex.org/W2954765307","https://openalex.org/W2955854238","https://openalex.org/W2962858109","https://openalex.org/W2962926870","https://openalex.org/W2963047834","https://openalex.org/W2963049565","https://openalex.org/W2963129433","https://openalex.org/W2963842104","https://openalex.org/W2963977416","https://openalex.org/W2964044605","https://openalex.org/W2964130064","https://openalex.org/W2964140013","https://openalex.org/W2967515867","https://openalex.org/W2979938149","https://openalex.org/W2980046511","https://openalex.org/W2980073905","https://openalex.org/W2981420411","https://openalex.org/W2982041213","https://openalex.org/W2983188006","https://openalex.org/W2984040540","https://openalex.org/W2984145721","https://openalex.org/W2991522752","https://openalex.org/W2995009671","https://openalex.org/W2998508940","https://openalex.org/W2998792609","https://openalex.org/W3020152020","https://openalex.org/W3033235266","https://openalex.org/W3035186652","https://openalex.org/W3047363187","https://openalex.org/W3100506510","https://openalex.org/W4288944547","https://openalex.org/W6685522000","https://openalex.org/W6743440100","https://openalex.org/W6747428963","https://openalex.org/W6771967508"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3211292372","https://openalex.org/W3160516639"],"abstract_inverted_index":{"As":[0,28],"an":[1,85],"instance-level":[2],"recognition":[3],"problem,":[4,115],"re-identification":[5,138],"(re-ID)":[6],"requires":[7],"models":[8,18,56],"to":[9,24,51,75,92,111],"capture":[10],"diverse":[11],"features.":[12],"However,":[13],"with":[14,40],"continuous":[15],"training,":[16],"re-ID":[17,153,158],"pay":[19],"more":[20,22],"and":[21,43,102,128,155],"attention":[23],"the":[25,31,81,94,98,113,210,219],"salient":[26,41,82,95,212],"areas.":[27],"a":[29,69,89,107,119],"result,":[30],"model":[32],"may":[33],"only":[34],"focus":[35],"on":[36,59,135,150,168,173,178,183,193,199,205],"few":[37],"small":[38,60],"regions":[39],"representations":[42],"ignore":[44],"other":[45],"important":[46],"information.":[47],"This":[48],"phenomenon":[49],"leads":[50],"inferior":[52],"performance,":[53],"especially":[54],"when":[55],"are":[57,133],"evaluated":[58],"inter-identity":[61],"variation":[62],"data.":[63],"In":[64],"this":[65,116],"paper,":[66],"we":[67],"propose":[68],"novel":[70,90],"network,":[71],"Erasing-Salient":[72],"Net":[73],"(ES-Net),":[74],"learn":[76],"comprehensive":[77],"features":[78],"by":[79,97],"erasing":[80],"areas":[83,96,213],"in":[84,106],"image.":[86],"ES-Net":[87,146],"proposes":[88],"method":[91],"locate":[93],"confidence":[99],"of":[100],"objects":[101],"erases":[103],"them":[104],"efficiently":[105],"training":[108],"batch.":[109],"Meanwhile,":[110],"mitigate":[112],"over-erasing":[114],"paper":[117],"uses":[118],"trainable":[120],"pooling":[121],"layer":[122],"P-pooling":[123],"that":[124],"generalizes":[125],"global":[126,129],"max":[127],"average":[130],"pooling.":[131],"Experiments":[132],"conducted":[134],"two":[136,156],"specific":[137],"tasks":[139],"(i.e.,":[140],"Person":[141,152],"re-ID,":[142],"Vehicle":[143,157],"re-ID).":[144],"Our":[145],"outperforms":[147],"state-of-the-art":[148],"methods":[149],"three":[151],"benchmarks":[154],"benchmarks.":[159],"Specifically,":[160],"mAP":[161],"/":[162,166,171,176,181,187,191,197,203],"Rank-1":[163,186],"rate:":[164,189],"88.6%":[165],"95.7%":[167],"Market1501,":[169],"78.8%":[170],"89.2%":[172],"DuckMTMC-reID,":[174],"57.3%":[175],"80.9%":[177],"MSMT17,":[179],"81.9%":[180],"97.0%":[182],"Veri-776,":[184],"respectively.":[185,208],"Rank-5":[188],"83.6%":[190],"96.9%":[192],"VehicleID":[194,200,206],"(Small),":[195],"79.9%":[196],"93.5%":[198],"(Medium),":[201],"76.9%":[202],"90.7%":[204],"(Large),":[207],"Moreover,":[209],"visualized":[211],"show":[214],"human-interpretable":[215],"visual":[216],"explanations":[217],"for":[218],"ranking":[220],"results.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
