{"id":"https://openalex.org/W4402351471","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650601","title":"FRTANet: Feature Reconstruction and Twofold Attention for Occluded Person Re-Identification","display_name":"FRTANet: Feature Reconstruction and Twofold Attention for Occluded Person Re-Identification","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351471","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650601"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5101609885","display_name":"Weixuan Wang","orcid":"https://orcid.org/0000-0003-4551-0795"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weixuan Wang","raw_affiliation_strings":["Southwest University,College of Computer and Information Science,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Southwest University,College of Computer and Information Science,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003279051","display_name":"Guoqiang Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Xiao","raw_affiliation_strings":["Southwest University,College of Computer and Information Science,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Southwest University,College of Computer and Information Science,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101609885"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":0.5263,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65598764,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9983999729156494,"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":0.9976999759674072,"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/identification","display_name":"Identification (biology)","score":0.6761414408683777},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6201398372650146},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6057853698730469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5939515829086304},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5095932483673096},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48231983184814453},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46146470308303833}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6761414408683777},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6201398372650146},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6057853698730469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5939515829086304},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5095932483673096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48231983184814453},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46146470308303833},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2095705004","https://openalex.org/W2108598243","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2962858109","https://openalex.org/W2962926870","https://openalex.org/W2963091558","https://openalex.org/W2963805953","https://openalex.org/W2963842104","https://openalex.org/W2964201641","https://openalex.org/W2964304299","https://openalex.org/W2980827638","https://openalex.org/W2981393440","https://openalex.org/W2990827756","https://openalex.org/W2992949251","https://openalex.org/W2998508940","https://openalex.org/W3034611771","https://openalex.org/W3035539956","https://openalex.org/W3048070442","https://openalex.org/W3093591919","https://openalex.org/W3162981594","https://openalex.org/W3166274350","https://openalex.org/W3174656328","https://openalex.org/W3175823695","https://openalex.org/W3180036565","https://openalex.org/W3183523885","https://openalex.org/W3194557739","https://openalex.org/W3203532213","https://openalex.org/W3217568419","https://openalex.org/W4225329940","https://openalex.org/W4225706465","https://openalex.org/W4307823382","https://openalex.org/W4311411216","https://openalex.org/W4319299883","https://openalex.org/W4322706802","https://openalex.org/W4386172436","https://openalex.org/W6674330103"],"related_works":["https://openalex.org/W4386159726","https://openalex.org/W2601157893","https://openalex.org/W2131735617","https://openalex.org/W2373006798","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2082269393"],"abstract_inverted_index":{"Occluded":[0,30],"person":[1],"re-identification":[2],"(Occluded":[3],"ReID)":[4],"aims":[5],"to":[6,42,83,100,122,152],"match":[7],"occluded":[8,19,180],"images":[9,12],"with":[10],"holistic":[11,186],"and":[13,70,94,126,147,173,184],"determine":[14],"the":[15,18,56,85,109,112,124,129,133,154,158,169],"identity":[16],"of":[17,58,108,128,171],"pedestrian.":[20],"Effective":[21],"pedestrian":[22,44,103,166],"local":[23,92,113,174],"features":[24,104,167],"play":[25],"an":[26],"important":[27],"role":[28],"in":[29,55,98,132],"ReID.":[31],"Previous":[32],"methods":[33,50],"usually":[34],"use":[35],"pose":[36],"estimation":[37],"or":[38],"human":[39],"parsing":[40],"labels":[41],"mine":[43],"body":[45],"part":[46],"features,":[47],"but":[48],"these":[49],"do":[51],"not":[52,77],"perform":[53],"well":[54],"face":[57],"complex":[59],"occlusion.":[60],"In":[61,111],"this":[62],"paper,":[63],"we":[64,89,136,163],"propose":[65],"a":[66,91,95,115,138],"novel":[67],"feature":[68,116],"reconstruction":[69,117],"twofold":[71,139],"attention":[72,140,144,149],"network":[73,155],"(FRTANet)":[74],"that":[75,191],"does":[76],"rely":[78],"on":[79,157,178],"any":[80],"auxiliary":[81],"model":[82],"address":[84],"occlusion":[86],"problem.":[87],"Specifically,":[88],"design":[90],"branch":[93,97],"global":[96,134,172],"FRTANet":[99],"extract":[101],"discriminative":[102],"from":[105],"different":[106],"layers":[107],"network.":[110],"branch,":[114,135],"module":[118,141,145,150],"(FRM)":[119],"is":[120],"designed":[121],"enhance":[123],"generalization":[125],"robustness":[127],"model.":[130],"Meanwhile,":[131],"introduce":[137],"including":[142],"multi-channel":[143],"(MCAM)":[146],"multi-positon":[148],"(MPAM)":[151],"help":[153],"focus":[156],"pedestrian\u2019s":[159],"visible":[160],"body.":[161],"Furthermore,":[162],"build":[164],"rich":[165],"through":[168],"fusion":[170],"features.":[175],"Experimental":[176],"results":[177],"two":[179,185],"datasets":[181,187],"(Occluded-DukeMTMC,":[182],"Occluded-REID)":[183],"(Market1501,":[188],"DukeMTMC)":[189],"demonstrate":[190],"our":[192],"approach":[193],"achieves":[194],"state-of-the-art":[195],"performance.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
