{"id":"https://openalex.org/W4387969649","doi":"https://doi.org/10.1145/3581783.3611719","title":"POAR: Towards Open Vocabulary Pedestrian Attribute Recognition","display_name":"POAR: Towards Open Vocabulary Pedestrian Attribute Recognition","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387969649","doi":"https://doi.org/10.1145/3581783.3611719"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3611719","doi":"https://doi.org/10.1145/3581783.3611719","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3611719","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3611719","source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3611719","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100333769","display_name":"Yue Zhang","orcid":"https://orcid.org/0000-0003-0179-1396","observed_orcids":["https://orcid.org/0000-0003-0179-1396","https://orcid.org/0009-0007-4314-0563"]},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["Henan Normal University, Xinxiang, China"],"raw_orcid":"https://orcid.org/0000-0003-0179-1396","affiliations":[{"raw_affiliation_string":"Henan Normal University, Xinxiang, China","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020106541","display_name":"Suchen Wang","orcid":"https://orcid.org/0000-0002-4086-0713","observed_orcids":["https://orcid.org/0000-0002-4086-0713"]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Suchen Wang","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-4086-0713","affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025341442","display_name":"Shichao Kan","orcid":"https://orcid.org/0000-0003-0097-6196","observed_orcids":["https://orcid.org/0000-0003-0097-6196"]},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichao Kan","raw_affiliation_strings":["Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-0097-6196","affiliations":[{"raw_affiliation_string":"Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067922510","display_name":"Zhenyu Weng","orcid":"https://orcid.org/0000-0001-7857-8687","observed_orcids":["https://orcid.org/0000-0001-7857-8687"]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhenyu Weng","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-7857-8687","affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082462498","display_name":"Yigang Cen","orcid":"https://orcid.org/0000-0001-6255-9422","observed_orcids":["https://orcid.org/0000-0001-6255-9422"]},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yigang Cen","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6255-9422","affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yap-peng Tan","orcid":"https://orcid.org/0000-0002-0645-9109","observed_orcids":["https://orcid.org/0000-0002-0645-9109"]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yap-peng Tan","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-0645-9109","affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.84430719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"655","last_page":"665"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.7714999914169312,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.7714999914169312,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.08449999988079071,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.029400000348687172,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pedestrian-attribute-recognition","display_name":"pedestrian attribute recognition","score":0.9860000014305115},{"id":"https://openalex.org/keywords/transformer-encoder","display_name":"Transformer encoder","score":0.5490000247955322},{"id":"https://openalex.org/keywords/knowledge-distillation","display_name":"knowledge distillation","score":0.8740000128746033}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8361615538597107},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7299946546554565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5772958993911743},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5169869661331177},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5159974098205566},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4975784122943878},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41522416472435},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39439570903778076},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36089104413986206},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3581783.3611719","doi":"https://doi.org/10.1145/3581783.3611719","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3611719","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3611719","source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/232637","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/232637","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Conference Paper"},{"id":"pmh:oai:arXiv.org:2303.14643","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.14643","pdf_url":"https://arxiv.org/pdf/2303.14643","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"},{"id":"doi:10.48550/arxiv.2303.14643","doi":"https://doi.org/10.48550/arxiv.2303.14643","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2303.14643","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1145/3581783.3611719","doi":"https://doi.org/10.1145/3581783.3611719","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3611719","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3611719","source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G3156094666","display_name":null,"funder_award_id":"2022JJ40632","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G386497372","display_name":null,"funder_award_id":"62062021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5405212225","display_name":null,"funder_award_id":"62202499,62062021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8222222245","display_name":null,"funder_award_id":"62202499","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/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387969649.pdf","grobid_xml":"https://content.openalex.org/works/W4387969649.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W2111025459","https://openalex.org/W2119880843","https://openalex.org/W2410968923","https://openalex.org/W2471768434","https://openalex.org/W2560662850","https://openalex.org/W2611289797","https://openalex.org/W2766111649","https://openalex.org/W2798685991","https://openalex.org/W2808154247","https://openalex.org/W2904764169","https://openalex.org/W2905535961","https://openalex.org/W2935590460","https://openalex.org/W2963365374","https://openalex.org/W2986999591","https://openalex.org/W2997998901","https://openalex.org/W2998496429","https://openalex.org/W3033971630","https://openalex.org/W3035590987","https://openalex.org/W3094502228","https://openalex.org/W3106827427","https://openalex.org/W3112567928","https://openalex.org/W3184033217","https://openalex.org/W3184927044","https://openalex.org/W3187415662","https://openalex.org/W3200445214","https://openalex.org/W3204251186","https://openalex.org/W3206072662","https://openalex.org/W4200498145","https://openalex.org/W4220961760","https://openalex.org/W4229014680","https://openalex.org/W4240900090","https://openalex.org/W4283816693","https://openalex.org/W4285207098","https://openalex.org/W4300981332","https://openalex.org/W4312574495","https://openalex.org/W4312680644","https://openalex.org/W4312747482","https://openalex.org/W4321020060","https://openalex.org/W4360595253","https://openalex.org/W4387872955"],"related_works":["https://openalex.org/W4402216993","https://openalex.org/W4413278329","https://openalex.org/W7123344819","https://openalex.org/W4415708433","https://openalex.org/W4414250417","https://openalex.org/W4285207098","https://openalex.org/W2792976003","https://openalex.org/W4415708529","https://openalex.org/W4407948702","https://openalex.org/W4404056822"],"abstract_inverted_index":{"Pedestrian":[0,50],"attribute":[1,27,98,109,139,182],"recognition":[2],"(PAR)":[3],"aims":[4],"to":[5,76,100,135,173],"predict":[6],"the":[7,17,39,57,79,102,121,127,130,137,142,175,201,211],"attributes":[8,37,80,104,148],"of":[9,62,81,97,149,203],"a":[10,22,48,60,68,72,95,114,150,155,167,207],"target":[11],"pedestrian.":[12],"Recent":[13],"methods":[14],"often":[15],"address":[16],"PAR":[18,192],"problem":[19,58],"by":[20,55,120],"training":[21],"multi-label":[23],"classifier":[24],"with":[25,71,160,194],"predefined":[26],"classes,":[28],"but":[29],"they":[30],"can":[31],"hardly":[32],"exhaust":[33],"all":[34],"possible":[35],"pedestrian":[36,83],"in":[38],"real":[40],"world.":[41],"To":[42,145],"tackle":[43],"this":[44],"problem,":[45],"we":[46,125,153,165],"propose":[47,154,166],"novel":[49],"Open-Attribute":[51],"Recognition":[52],"(POAR)":[53],"approach":[54,66],"formulating":[56],"as":[59,113,206],"task":[61],"image-text":[63],"search.":[64],"Our":[65,214],"employs":[67],"Transformer-based":[69],"Encoder":[70],"Masking":[73],"Strategy":[74],"(TEMS)":[75],"focus":[77],"on":[78,190],"specific":[82],"parts":[84],"(e.g.,":[85],"head,":[86],"upper":[87],"body,":[88,90],"lower":[89],"feet,":[91],"etc.),":[92],"and":[93,118,132,180],"introduces":[94],"set":[96],"tokens":[99],"encode":[101],"corresponding":[103],"into":[105],"visual":[106,131,178],"embeddings.":[107,184],"Each":[108],"category":[110],"is":[111,216],"described":[112],"natural":[115],"language":[116],"sentence":[117],"encoded":[119],"text":[122,133,183],"encoder.":[123],"Then,":[124],"compute":[126],"similarity":[128],"between":[129,177],"embeddings":[134,179],"find":[136],"best":[138],"descriptions":[140],"for":[141,210],"input":[143],"images.":[144],"handle":[146],"multiple":[147],"single":[151],"pedestrian,":[152],"Many-To-Many":[156],"Contrastive":[157],"(MTMC)":[158],"loss":[159],"masked":[161],"tokens.":[162],"In":[163],"addition,":[164],"Grouped":[168],"Knowledge":[169],"Distillation":[170],"(GKD)":[171],"method":[172,189,205],"minimize":[174],"disparity":[176],"unseen":[181],"We":[185],"evaluate":[186],"our":[187,204],"proposed":[188],"three":[191],"datasets":[193],"an":[195],"open-attribute":[196],"setting.":[197],"The":[198],"results":[199],"demonstrate":[200],"effectiveness":[202],"strong":[208],"baseline":[209],"POAR":[212],"task.":[213],"code":[215],"available":[217],"at":[218],"https://github.com/IvyYZ/POAR.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2023-10-28T00:00:00"}
