{"id":"https://openalex.org/W3189500528","doi":"https://doi.org/10.1109/tip.2021.3070182","title":"Incremental Generative Occlusion Adversarial Suppression Network for Person ReID","display_name":"Incremental Generative Occlusion Adversarial Suppression Network for Person ReID","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3189500528","doi":"https://doi.org/10.1109/tip.2021.3070182","mag":"3189500528","pmid":"https://pubmed.ncbi.nlm.nih.gov/33822724"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3070182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3070182","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":["crossref","pubmed"],"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/A5064237960","display_name":"Cairong Zhao","orcid":"https://orcid.org/0000-0001-6745-9674"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cairong Zhao","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005725090","display_name":"Xinbi Lv","orcid":"https://orcid.org/0000-0003-3055-4138"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbi Lv","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039546706","display_name":"Shuguang Dou","orcid":"https://orcid.org/0000-0003-3231-8817"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuguang Dou","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412142","display_name":"Shanshan Zhang","orcid":"https://orcid.org/0000-0003-4013-6300"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Zhang","raw_affiliation_strings":["Jiangsu Key Laboratory of Image and Video Understanding for Social Security, Nanjing University of Science and Technology, Nanjing, China","School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Image and Video Understanding for Social Security, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075806425","display_name":"Jun Wu","orcid":"https://orcid.org/0000-0001-7090-8653"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wu","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115602506","display_name":"Liang Wang","orcid":"https://orcid.org/0000-0001-5224-8647"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Wang","raw_affiliation_strings":["National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064237960"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":6.5806,"has_fulltext":false,"cited_by_count":90,"citation_normalized_percentile":{"value":0.97688762,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"30","issue":null,"first_page":"4212","last_page":"4224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9962000250816345,"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/adversarial-system","display_name":"Adversarial system","score":0.8425905108451843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6281448006629944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5797145962715149},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5615944862365723},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5248967409133911},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3805307447910309},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33002719283103943},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32074713706970215},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.237091064453125}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8425905108451843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6281448006629944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5797145962715149},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5615944862365723},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5248967409133911},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3805307447910309},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33002719283103943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32074713706970215},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.237091064453125}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2021.3070182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3070182","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:33822724","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33822724","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}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G1733004084","display_name":null,"funder_award_id":"61673299","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G23458378","display_name":null,"funder_award_id":"61976160","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G557821638","display_name":null,"funder_award_id":"61573255","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5686205310","display_name":null,"funder_award_id":"62076184","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"},{"id":"https://openalex.org/F4320322370","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W2058887147","https://openalex.org/W2143314306","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2235916736","https://openalex.org/W2432402544","https://openalex.org/W2511791013","https://openalex.org/W2585635281","https://openalex.org/W2746314669","https://openalex.org/W2747685395","https://openalex.org/W2752782242","https://openalex.org/W2792857687","https://openalex.org/W2798590501","https://openalex.org/W2884585870","https://openalex.org/W2887057599","https://openalex.org/W2890166761","https://openalex.org/W2891175865","https://openalex.org/W2897450186","https://openalex.org/W2926107957","https://openalex.org/W2931208564","https://openalex.org/W2952634764","https://openalex.org/W2954451719","https://openalex.org/W2962706983","https://openalex.org/W2962835968","https://openalex.org/W2962898677","https://openalex.org/W2962923976","https://openalex.org/W2962926870","https://openalex.org/W2963330186","https://openalex.org/W2963420686","https://openalex.org/W2963495494","https://openalex.org/W2963842104","https://openalex.org/W2963876278","https://openalex.org/W2963910742","https://openalex.org/W2963968597","https://openalex.org/W2964117779","https://openalex.org/W2964121744","https://openalex.org/W2964130064","https://openalex.org/W2964201641","https://openalex.org/W2981393440","https://openalex.org/W2981420411","https://openalex.org/W2981684125","https://openalex.org/W2984040540","https://openalex.org/W2984145721","https://openalex.org/W2988964414","https://openalex.org/W2990317318","https://openalex.org/W2990827756","https://openalex.org/W2997142416","https://openalex.org/W2998508940","https://openalex.org/W3005339439","https://openalex.org/W3005747948","https://openalex.org/W3034611771","https://openalex.org/W3035385098","https://openalex.org/W3035539956","https://openalex.org/W3048070442","https://openalex.org/W3100555577","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6684191040","https://openalex.org/W6725558437","https://openalex.org/W6743428213","https://openalex.org/W6743440100","https://openalex.org/W6747428963","https://openalex.org/W6753412334","https://openalex.org/W6754484989","https://openalex.org/W6755740987","https://openalex.org/W6764823761","https://openalex.org/W6769981643","https://openalex.org/W6773875784","https://openalex.org/W6782290091"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4235873501"],"abstract_inverted_index":{"Person":[0],"re-identification":[1],"(re-id)":[2],"suffers":[3],"from":[4],"the":[5,82,111,151,164,196,202,206],"significant":[6],"challenge":[7],"of":[8,98,123,150,209],"occlusion,":[9],"where":[10],"an":[11,100,139],"image":[12],"contains":[13],"occlusions":[14],"and":[15,39,55,138,168,218],"less":[16],"discriminative":[17,47,183],"pedestrian":[18,184],"information.":[19],"However,":[20],"certain":[21],"work":[22],"consistently":[23],"attempts":[24],"to":[25,29,115,195],"design":[26],"complex":[27],"modules":[28],"capture":[30],"implicit":[31],"information":[32],"(including":[33],"human":[34,51,174],"pose":[35],"landmarks,":[36],"mask":[37],"maps,":[38],"spatial":[40,60],"information).":[41],"The":[42,143,153,199],"network,":[43],"consequently,":[44],"focuses":[45],"on":[46,50,66,173,201],"features":[48,149],"learning":[49,119],"non-occluded":[52,175],"body":[53,176],"regions":[54],"realizes":[56],"effective":[57],"matching":[58],"under":[59],"misalignment.":[61],"Few":[62],"studies":[63],"have":[64],"focused":[65],"data":[67,73],"augmentation,":[68],"given":[69],"that":[70,109],"existing":[71],"single-based":[72],"augmentation":[74],"methods":[75],"bring":[76],"limited":[77],"performance":[78,208],"improvement.":[79],"To":[80],"address":[81],"occlusion":[83,103,107,116,121,125,160,197],"problem,":[84],"we":[85,179],"propose":[86],"a":[87,129,135,181],"novel":[88],"Incremental":[89],"Generative":[90],"Occlusion":[91],"Adversarial":[92],"Suppression":[93],"(IGOAS)":[94],"network.":[95],"It":[96],"consists":[97],"1)":[99],"incremental":[101],"generative":[102],"block,":[104],"generating":[105],"easy-to-hard":[106],"data,":[108],"makes":[110],"network":[112],"more":[113,182],"robust":[114,194],"by":[117,187],"gradually":[118],"harder":[120],"instead":[122],"hardest":[124],"directly.":[126],"And":[127],"2)":[128],"global-adversarial":[130],"suppression":[131,141,155,161],"(G&A)":[132],"framework":[133],"with":[134,158],"global":[136,144,148],"branch":[137,145],"adversarial":[140,154],"branch.":[142],"extracts":[146],"steady":[147],"images.":[152],"branch,":[156],"embedded":[157],"two":[159,189],"module,":[162],"minimizes":[163],"generated":[165],"occlusion's":[166],"response":[167],"strengthens":[169],"attentive":[170],"feature":[171,185],"representation":[172],"regions.":[177],"Finally,":[178],"get":[180],"descriptor":[186],"concatenating":[188],"branches'":[190],"features,":[191],"which":[192],"is":[193],"problem.":[198],"experiments":[200],"occluded":[203],"dataset":[204],"show":[205],"competitive":[207],"IGOAS.":[210],"On":[211],"Occluded-DukeMTMC,":[212],"it":[213],"achieves":[214],"60.1%":[215],"Rank-1":[216],"accuracy":[217],"49.4%":[219],"mAP.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":6}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}
