{"id":"https://openalex.org/W4322746882","doi":"https://doi.org/10.2298/csis220815016f","title":"Pedestrian attribute recognition based on dual self-attention mechanism","display_name":"Pedestrian attribute recognition based on dual self-attention mechanism","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4322746882","doi":"https://doi.org/10.2298/csis220815016f"},"language":"en","primary_location":{"id":"doi:10.2298/csis220815016f","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2298/csis220815016f","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142300016F","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142300016F","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064788776","display_name":"Zhongkui Fan","orcid":"https://orcid.org/0000-0002-4839-6644"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongkui Fan","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China","School of Communication and Information Engineering, Shanghai University, 200444 Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, 200444 Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058259220","display_name":"Yepeng Guan","orcid":"https://orcid.org/0000-0003-1854-1430"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ye-Peng Guan","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China + Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China","School of Communication and Information Engineering, Shanghai University, 200444 Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China + Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, 200444 Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5058259220"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":0.2127,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.45588651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"20","issue":"2","first_page":"793","last_page":"812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.998199999332428,"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":0.998199999332428,"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":0.9769999980926514,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.968999981880188,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/computer-science","display_name":"Computer science","score":0.9036500453948975},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.7408595085144043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6086351871490479},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5281541347503662},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5226790308952332},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.4911961257457733},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4788608253002167},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.43942901492118835},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4079137146472931},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.403378427028656}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9036500453948975},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7408595085144043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6086351871490479},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5281541347503662},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5226790308952332},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.4911961257457733},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4788608253002167},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.43942901492118835},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4079137146472931},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.403378427028656},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2298/csis220815016f","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2298/csis220815016f","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142300016F","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2298/csis220815016f","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2298/csis220815016f","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142300016F","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4322746882.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1522973599","https://openalex.org/W1907729166","https://openalex.org/W1934184906","https://openalex.org/W1967988963","https://openalex.org/W1971955426","https://openalex.org/W1974796563","https://openalex.org/W1999705173","https://openalex.org/W2102497689","https://openalex.org/W2111025459","https://openalex.org/W2147414309","https://openalex.org/W2286727787","https://openalex.org/W2410968923","https://openalex.org/W2535410496","https://openalex.org/W2544587078","https://openalex.org/W2592628593","https://openalex.org/W2751329796","https://openalex.org/W2752782242","https://openalex.org/W2884585870","https://openalex.org/W2887361581","https://openalex.org/W2889143500","https://openalex.org/W2896249043","https://openalex.org/W2904764169","https://openalex.org/W2905439313","https://openalex.org/W2914278669","https://openalex.org/W2954148997","https://openalex.org/W2962766801","https://openalex.org/W2963091558","https://openalex.org/W2963365374","https://openalex.org/W2966350035","https://openalex.org/W2990827756","https://openalex.org/W3026128218","https://openalex.org/W3035502324","https://openalex.org/W3103850820","https://openalex.org/W3108274592","https://openalex.org/W6739901393","https://openalex.org/W6752378368"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W2329452785","https://openalex.org/W2356380379","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W3170094116"],"abstract_inverted_index":{"Recognizing":[0],"pedestrian":[1,48,110],"attributes":[2],"has":[3],"recently":[4],"obtained":[5],"increasing":[6],"attention":[7],"due":[8],"to":[9],"its":[10],"great":[11],"potential":[12],"in":[13],"person":[14],"re-identification,":[15],"recommendation":[16],"system,":[17],"and":[18,36,64,74,95,114,124,138],"other":[19],"applications.":[20],"Existing":[21],"methods":[22,29],"have":[23],"achieved":[24],"good":[25],"results,":[26],"but":[27],"these":[28],"do":[30],"not":[31],"fully":[32],"utilize":[33],"region":[34,87],"information":[35],"the":[37,85,91,96,102,118,136,139],"correlation":[38,141],"between":[39,142],"attributes.":[40,143],"This":[41],"paper":[42],"aims":[43],"at":[44],"proposing":[45],"a":[46,79],"robust":[47],"attribute":[49,60,93,104,111],"recognition":[50,81,120,152],"framework.":[51],"Specifically,":[52],"we":[53],"first":[54],"propose":[55],"an":[56],"end-to-end":[57],"framework":[58],"for":[59,70,90,101],"recognition.":[61,105],"Secondly,":[62],"spatial":[63,137],"semantic":[65,140],"self-attention":[66],"mechanism":[67],"is":[68,83,88],"used":[69,89,100],"key":[71],"points":[72],"localization":[73],"bounding":[75],"boxes":[76],"generation.":[77],"Finally,":[78],"hierarchical":[80],"strategy":[82],"proposed,":[84],"whole":[86],"global":[92],"recognition,":[94],"relevant":[97],"regions":[98],"are":[99],"local":[103],"Experimental":[106],"results":[107],"on":[108],"two":[109],"datasets":[112],"PETA":[113],"RAP":[115],"show":[116],"that":[117,130],"mean":[119],"accuracy":[121],"reaches":[122],"84.63%":[123],"82.70%.":[125],"The":[126],"heatmap":[127],"analysis":[128],"shows":[129],"our":[131],"method":[132],"can":[133,149],"effectively":[134],"improve":[135],"Compared":[144],"with":[145],"existing":[146],"methods,":[147],"it":[148],"achieve":[150],"better":[151],"effect.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
