{"id":"https://openalex.org/W4285225911","doi":"https://doi.org/10.1109/tbiom.2022.3184525","title":"Discriminative Local Representation Learning for Cross-Modality Visible-Thermal Person Re-Identification","display_name":"Discriminative Local Representation Learning for Cross-Modality Visible-Thermal Person Re-Identification","publication_year":2022,"publication_date":"2022-06-22","ids":{"openalex":"https://openalex.org/W4285225911","doi":"https://doi.org/10.1109/tbiom.2022.3184525"},"language":"en","primary_location":{"id":"doi:10.1109/tbiom.2022.3184525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbiom.2022.3184525","pdf_url":null,"source":{"id":"https://openalex.org/S4210209367","display_name":"IEEE Transactions on Biometrics Behavior and Identity Science","issn_l":"2637-6407","issn":["2637-6407"],"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 Biometrics, Behavior, and Identity Science","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/A5021934263","display_name":"Yong Wu","orcid":"https://orcid.org/0000-0001-5628-1858"},"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":"Yong Wu","raw_affiliation_strings":["Department of Computer Science and Technology, School of Electronics and Information Engineering, and the China National Scientific Seafloor Observatory, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5628-1858","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, School of Electronics and Information Engineering, and the China National Scientific Seafloor Observatory, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005697144","display_name":"Guo-Dui He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130035","display_name":"China Communications Construction Company (China)","ror":"https://ror.org/03q3een69","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210130035"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo-Dui He","raw_affiliation_strings":["Department of Information Business, China Communications Services Guangxi Technical Service Company, Nanning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Business, China Communications Services Guangxi Technical Service Company, Nanning, China","institution_ids":["https://openalex.org/I4210130035"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057226554","display_name":"Lihua Wen","orcid":"https://orcid.org/0000-0001-8093-971X"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Li-Hua Wen","raw_affiliation_strings":["Graduate School of Electrical Engineering, University of Ulsan, Ulsan, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-8093-971X","affiliations":[{"raw_affiliation_string":"Graduate School of Electrical Engineering, University of Ulsan, Ulsan, South Korea","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102706738","display_name":"Xiao Qin","orcid":"https://orcid.org/0000-0003-3237-7083"},"institutions":[{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Qin","raw_affiliation_strings":["School of Computer and Information Engineering, Nanning Normal University, Nanning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Nanning Normal University, Nanning, China","institution_ids":["https://openalex.org/I4210151929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007724310","display_name":"Changan Yuan","orcid":"https://orcid.org/0000-0001-6912-718X"},"institutions":[{"id":"https://openalex.org/I4210165264","display_name":"Guangxi Academy of Sciences","ror":"https://ror.org/054x1kd82","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210165264"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang-An Yuan","raw_affiliation_strings":["Institute of Big Data and Intelligent Computing Research Center, Guangxi Academy of Science, Nanning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Big Data and Intelligent Computing Research Center, Guangxi Academy of Science, Nanning, China","institution_ids":["https://openalex.org/I4210165264"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018239951","display_name":"Valeriya Gribova","orcid":"https://orcid.org/0000-0001-9393-351X"},"institutions":[{"id":"https://openalex.org/I1313323035","display_name":"Russian Academy of Sciences","ror":"https://ror.org/05qrfxd25","country_code":"RU","type":"government","lineage":["https://openalex.org/I1313323035"]},{"id":"https://openalex.org/I4210112797","display_name":"Institute of Automation and Control Processes","ror":"https://ror.org/02akkm420","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210112797","https://openalex.org/I4210148470"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Valeriya Gribova","raw_affiliation_strings":["Institute of Automation and Control Processes, Far Eastern Branch of Russian Academy of Sciences, Vladivostok, Russia"],"raw_orcid":"https://orcid.org/0000-0001-9393-351X","affiliations":[{"raw_affiliation_string":"Institute of Automation and Control Processes, Far Eastern Branch of Russian Academy of Sciences, Vladivostok, Russia","institution_ids":["https://openalex.org/I1313323035","https://openalex.org/I4210112797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023551813","display_name":"Vladimir Filaretov","orcid":"https://orcid.org/0000-0001-8900-8081"},"institutions":[{"id":"https://openalex.org/I1313323035","display_name":"Russian Academy of Sciences","ror":"https://ror.org/05qrfxd25","country_code":"RU","type":"government","lineage":["https://openalex.org/I1313323035"]},{"id":"https://openalex.org/I4210112797","display_name":"Institute of Automation and Control Processes","ror":"https://ror.org/02akkm420","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210112797","https://openalex.org/I4210148470"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vladimir Fedorovich Filaretov","raw_affiliation_strings":["Institute of Automation and Control Processes, Far Eastern Branch of Russian Academy of Sciences, Vladivostok, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation and Control Processes, Far Eastern Branch of Russian Academy of Sciences, Vladivostok, Russia","institution_ids":["https://openalex.org/I1313323035","https://openalex.org/I4210112797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060381913","display_name":"De-Shuang Huang","orcid":"https://orcid.org/0000-0002-6759-2691"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"De-Shuang Huang","raw_affiliation_strings":["EIT Institute for Advanced Study, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0002-6759-2691","affiliations":[{"raw_affiliation_string":"EIT Institute for Advanced Study, Ningbo, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9436,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.87249975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"5","issue":"1","first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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":0.9958000183105469,"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":0.9919000267982483,"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/discriminative-model","display_name":"Discriminative model","score":0.8699634671211243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7372248768806458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.713950514793396},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.6133899092674255},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5244303345680237},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5071313381195068},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5064140558242798},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4944124221801758},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4785274267196655},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45084148645401},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4395086467266083},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.422060489654541},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3493681848049164}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8699634671211243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7372248768806458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.713950514793396},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.6133899092674255},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5244303345680237},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5071313381195068},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5064140558242798},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4944124221801758},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4785274267196655},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45084148645401},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4395086467266083},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.422060489654541},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3493681848049164},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/tbiom.2022.3184525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbiom.2022.3184525","pdf_url":null,"source":{"id":"https://openalex.org/S4210209367","display_name":"IEEE Transactions on Biometrics Behavior and Identity Science","issn_l":"2637-6407","issn":["2637-6407"],"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 Biometrics, Behavior, and Identity Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G1141093333","display_name":null,"funder_award_id":"2021JJA170199","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G1307575636","display_name":"\u9762\u5411\u8111\u75be\u75c5\u7684\u4eba\u4f53\u80a0\u9053\u5fae\u751f\u7269\u7ec4\u5b66\u6570\u636e\u6316\u6398\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61932008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1857610291","display_name":null,"funder_award_id":"62073231","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2034869948","display_name":null,"funder_award_id":"62002266","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3425444037","display_name":null,"funder_award_id":"2018AAA0100100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G74711194","display_name":"\u57fa\u56e0\u7ec4\u975e\u7f16\u7801\u533a\u53d8\u5f02\u4e0e\u8f6c\u5f55\u56e0\u5b50\u8c03\u63a7\u5173\u7cfb\u7684\u8ba1\u7b97\u5206\u6790\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61732012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7699868062","display_name":null,"funder_award_id":"2021JJA170204","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1927348918","https://openalex.org/W1949591461","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2220271458","https://openalex.org/W2596603442","https://openalex.org/W2598634450","https://openalex.org/W2604314403","https://openalex.org/W2777534232","https://openalex.org/W2788846526","https://openalex.org/W2808134123","https://openalex.org/W2808260522","https://openalex.org/W2904949947","https://openalex.org/W2912406707","https://openalex.org/W2913231171","https://openalex.org/W2921310091","https://openalex.org/W2954773727","https://openalex.org/W2960065339","https://openalex.org/W2962706983","https://openalex.org/W2962858109","https://openalex.org/W2962926870","https://openalex.org/W2963091558","https://openalex.org/W2963446712","https://openalex.org/W2963597983","https://openalex.org/W2963842104","https://openalex.org/W2964015378","https://openalex.org/W2969429527","https://openalex.org/W2970390221","https://openalex.org/W2971537151","https://openalex.org/W2981396627","https://openalex.org/W2982170673","https://openalex.org/W2984040540","https://openalex.org/W2985033611","https://openalex.org/W2989812746","https://openalex.org/W2996878574","https://openalex.org/W2997877744","https://openalex.org/W2998126692","https://openalex.org/W2998633236","https://openalex.org/W2998792609","https://openalex.org/W3004021322","https://openalex.org/W3033110441","https://openalex.org/W3033235266","https://openalex.org/W3034494316","https://openalex.org/W3034519219","https://openalex.org/W3035241963","https://openalex.org/W3035673257","https://openalex.org/W3036606560","https://openalex.org/W3092676209","https://openalex.org/W3107848599","https://openalex.org/W3120441777","https://openalex.org/W3125540391","https://openalex.org/W3125736290","https://openalex.org/W3134669182","https://openalex.org/W3138516171","https://openalex.org/W3155080005","https://openalex.org/W3173203577","https://openalex.org/W3173635859","https://openalex.org/W3176633985","https://openalex.org/W3180036565","https://openalex.org/W3181317745","https://openalex.org/W3184225461","https://openalex.org/W3194065175","https://openalex.org/W6726873649","https://openalex.org/W6735531217"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W3119773509","https://openalex.org/W3208297503","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611"],"abstract_inverted_index":{"Visible-thermal":[0],"person":[1,24],"re-identification":[2],"(VTReID)":[3],"is":[4,104,133,162],"a":[5,67,156],"rising":[6],"and":[7,60,85,115,122,151,178,196,206],"challenging":[8],"cross-modality":[9,51],"retrieval":[10,53],"task":[11],"in":[12,29,45,56,147],"intelligent":[13],"video":[14],"surveillance":[15],"systems.":[16],"Most":[17],"attention":[18,44,100],"architectures":[19],"cannot":[20],"explore":[21,86,116],"the":[22,30,35,46,50,79,87,92,108,112,117,137,143,166,170,182,188,203,209],"discriminative":[23,71,109,149],"representations":[25,84,114,172],"for":[26,49,120],"VTReID,":[27],"especially":[28],"thermal":[31,123],"modality.":[32,175],"In":[33],"addition,":[34],"fine-grained":[36,82],"middle-level":[37,150],"semantic":[38,89],"information":[39],"has":[40],"received":[41],"much":[42],"less":[43],"part-based":[47],"approaches":[48],"pedestrian":[52],"task,":[54],"resulting":[55],"limited":[57],"generalization":[58],"capability":[59,110],"poor":[61],"representation":[62,73],"robustness.":[63],"This":[64],"paper":[65],"proposes":[66],"simple":[68],"yet":[69],"powerful":[70],"local":[72,81],"learning":[74,130],"(DLRL)":[75],"model":[76,191],"to":[77,106,135,164],"capture":[78,136],"robust":[80,152],"feature":[83,113,129],"rich":[88],"relationship":[90,168],"between":[91],"learned":[93],"part":[94,171],"features.":[95],"Specifically,":[96],"an":[97,126],"efficient":[98],"contextual":[99,118],"aggregation":[101],"module":[102,160],"(CAAM)":[103],"designed":[105],"strengthen":[107],"of":[111,200],"cues":[119],"visible":[121],"modalities.":[124],"Then,":[125],"integrated":[127],"middle-high":[128],"(IMHF)":[131],"method":[132],"introduced":[134],"part-level":[138],"salient":[139],"representations,":[140],"which":[141],"handles":[142],"ambiguous":[144],"modality":[145],"discrepancy":[146],"both":[148],"high-level":[153],"information.":[154],"Moreover,":[155],"part-guided":[157],"graph":[158],"convolution":[159],"(PGCM)":[161],"constructed":[163],"mine":[165],"structural":[167],"among":[169],"within":[173],"each":[174],"The":[176],"quantitative":[177],"qualitative":[179],"experiments":[180],"on":[181,202,208],"two":[183],"benchmark":[184],"datasets":[185],"demonstrate":[186],"that":[187],"proposed":[189],"DLRL":[190],"significantly":[192],"outperforms":[193],"state-of-the-art":[194],"methods":[195],"achieves":[197],"rank-1/mAP":[198],"accuracy":[199],"92.77%/82.05%":[201],"RegDB":[204],"dataset":[205],"63.04%/60.58%":[207],"SYSU-MM01":[210],"dataset.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}