{"id":"https://openalex.org/W4405754093","doi":"https://doi.org/10.1109/tmm.2024.3521812","title":"Progressive Feature Mining and External Knowledge-Assisted Text-Pedestrian Image Retrieval","display_name":"Progressive Feature Mining and External Knowledge-Assisted Text-Pedestrian Image Retrieval","publication_year":2024,"publication_date":"2024-12-24","ids":{"openalex":"https://openalex.org/W4405754093","doi":"https://doi.org/10.1109/tmm.2024.3521812"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3521812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3521812","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-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/A5080535168","display_name":"Huafeng Li","orcid":"https://orcid.org/0000-0003-2462-6174"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huafeng Li","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111029677","display_name":"Shedan Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shedan Yang","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005210261","display_name":"Yafei Zhang","orcid":"https://orcid.org/0000-0003-2347-5642"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yafei Zhang","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067600725","display_name":"Dapeng Tao","orcid":"https://orcid.org/0000-0003-0783-5273"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dapeng Tao","raw_affiliation_strings":["FIST LAB, School of Information Science and Engineering, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"FIST LAB, School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100619287","display_name":"Zhengtao Yu","orcid":"https://orcid.org/0000-0002-4012-461X"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengtao Yu","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5080535168"],"corresponding_institution_ids":["https://openalex.org/I10660446"],"apc_list":null,"apc_paid":null,"fwci":0.9971,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7843828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"27","issue":null,"first_page":"1973","last_page":"1987"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9932000041007996,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9932000041007996,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9926999807357788,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9470000267028809,"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/computer-science","display_name":"Computer science","score":0.8196232318878174},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.6116477251052856},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5757279992103577},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5698133707046509},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5361397862434387},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5295145511627197},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.42211514711380005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4141954779624939},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3680087924003601},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3585355281829834},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3574523329734802},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07542762160301208}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8196232318878174},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6116477251052856},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5757279992103577},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5698133707046509},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5361397862434387},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5295145511627197},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.42211514711380005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4141954779624939},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3680087924003601},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3585355281829834},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3574523329734802},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07542762160301208},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3521812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3521812","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6545507832","display_name":null,"funder_award_id":"62276120","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":76,"referenced_works":["https://openalex.org/W2117539524","https://openalex.org/W2883311563","https://openalex.org/W2894786240","https://openalex.org/W2896457183","https://openalex.org/W2938085446","https://openalex.org/W2963449390","https://openalex.org/W2967515867","https://openalex.org/W2981384185","https://openalex.org/W2985951359","https://openalex.org/W2987191133","https://openalex.org/W2988823324","https://openalex.org/W2997421053","https://openalex.org/W3005530336","https://openalex.org/W3015686580","https://openalex.org/W3017098848","https://openalex.org/W3024059432","https://openalex.org/W3082913072","https://openalex.org/W3093025987","https://openalex.org/W3094502228","https://openalex.org/W3095440956","https://openalex.org/W3110275472","https://openalex.org/W3147954272","https://openalex.org/W3160179442","https://openalex.org/W3165835426","https://openalex.org/W3175075852","https://openalex.org/W3175600894","https://openalex.org/W3181069167","https://openalex.org/W3185727700","https://openalex.org/W3189221782","https://openalex.org/W3190055600","https://openalex.org/W3192443982","https://openalex.org/W3202364407","https://openalex.org/W3204887981","https://openalex.org/W3206866525","https://openalex.org/W3206868111","https://openalex.org/W3210554596","https://openalex.org/W3214294103","https://openalex.org/W4200633094","https://openalex.org/W4205200601","https://openalex.org/W4205960322","https://openalex.org/W4225159440","https://openalex.org/W4225166070","https://openalex.org/W4245267204","https://openalex.org/W4280538209","https://openalex.org/W4281251718","https://openalex.org/W4283276478","https://openalex.org/W4283818632","https://openalex.org/W4295308727","https://openalex.org/W4297821751","https://openalex.org/W4297833440","https://openalex.org/W4304087170","https://openalex.org/W4304091614","https://openalex.org/W4312359729","https://openalex.org/W4313147265","https://openalex.org/W4319299832","https://openalex.org/W4321231469","https://openalex.org/W4322730934","https://openalex.org/W4379929801","https://openalex.org/W4380303853","https://openalex.org/W4385245566","https://openalex.org/W4385486155","https://openalex.org/W4385764787","https://openalex.org/W4386065462","https://openalex.org/W4386758381","https://openalex.org/W4387969466","https://openalex.org/W4387969591","https://openalex.org/W4388145471","https://openalex.org/W4393158793","https://openalex.org/W4403021789","https://openalex.org/W6631190155","https://openalex.org/W6760781474","https://openalex.org/W6788774013","https://openalex.org/W6791353385","https://openalex.org/W6798805250","https://openalex.org/W6798810632","https://openalex.org/W6802411921"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W3122828758","https://openalex.org/W2101960027","https://openalex.org/W4205958986","https://openalex.org/W2197846993","https://openalex.org/W49697837","https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W3204901196"],"abstract_inverted_index":{"Text-Pedestrian":[0],"Image":[1],"Retrieval":[2],"employs":[3],"textual":[4,25,140],"description":[5],"of":[6,27,93,117,147,162,172],"pedestrian's":[7],"appearance":[8],"to":[9,75,113],"identify":[10],"the":[11,21,30,73,84,91,99,121,148,158,163],"corresponding":[12],"pedestrian":[13],"image.":[14],"This":[15,82,124],"task":[16],"involves":[17],"modality":[18,103],"discrepancy":[19,104],"and":[20,58,89,105,129,136,142,160],"challenges":[22,100],"posed":[23,101],"by":[24,102],"diversity":[26,107,141],"pedestrians":[28],"with":[29,166],"same":[31,122,149],"identity.":[32],"Although":[33],"advancements":[34],"have":[35],"been":[36],"made":[37],"in":[38,108],"text-pedestrian":[39],"image":[40],"retrieval,":[41],"current":[42],"methods":[43,175],"do":[44],"not":[45],"comprehensively":[46],"address":[47],"these":[48],"challenges.":[49],"Thus,":[50],"this":[51],"paper":[52],"proposes":[53],"a":[54,68],"progressive":[55,69],"feature":[56,62,86,134],"mining":[57,70],"external":[59,115],"knowledge-":[60],"assisted":[61],"purification":[63],"method.":[64],"Specifically,":[65],"we":[66,111],"implement":[67],"mode,":[71],"enabling":[72],"model":[74],"extract":[76],"discriminative":[77,94],"features":[78,128,146],"from":[79,120,139],"overlooked":[80],"information.":[81,95],"enhances":[83],"model's":[85],"representation":[87,135],"capabilities":[88],"prevents":[90],"loss":[92],"To":[96],"further":[97],"mitigate":[98],"text":[106],"cross-modal":[109],"matching,":[110],"propose":[112],"use":[114],"knowledge":[116],"other":[118],"samples":[119],"modality.":[123,150],"approach":[125],"accentuates":[126],"identity-consistent":[127],"diminishes":[130],"identity-inconsistent":[131],"ones,":[132],"refining":[133],"reducing":[137],"interference":[138],"negative":[143],"sample":[144],"correlation":[145],"Extensive":[151],"experiments":[152],"on":[153,176],"three":[154],"challenging":[155],"datasets":[156],"demonstrate":[157],"effectiveness":[159],"superiority":[161],"proposed":[164],"method,":[165],"its":[167],"retrieval":[168],"performance":[169],"outstripping":[170],"that":[171],"large-scale":[173,177],"model-based":[174],"datasets.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
