{"id":"https://openalex.org/W3015651789","doi":"https://doi.org/10.1109/icassp40776.2020.9054659","title":"Enhance Part-Based Model for Person Re-Identification with Fused Multi-Scale Features","display_name":"Enhance Part-Based Model for Person Re-Identification with Fused Multi-Scale Features","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015651789","doi":"https://doi.org/10.1109/icassp40776.2020.9054659","mag":"3015651789"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5042570651","display_name":"Xipeng Lin","orcid":"https://orcid.org/0009-0008-8306-9658"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xi-Peng Lin","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111673780","display_name":"Yu-Bin Yang","orcid":"https://orcid.org/0000-0002-6418-2734"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Bin Yang","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113900006","display_name":"Zhong-Han Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong-Han Niu","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042570651"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.0977,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.36689185,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4092","last_page":"4096"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9958999752998352,"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":0.805870532989502},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7770720720291138},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7082957029342651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6873523592948914},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6044406294822693},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5556751489639282},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5387846231460571},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5291778445243835},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5144365429878235},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4724683463573456},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45765388011932373},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3757612705230713}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.805870532989502},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7770720720291138},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7082957029342651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6873523592948914},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6044406294822693},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5556751489639282},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5387846231460571},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5291778445243835},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5144365429878235},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4724683463573456},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45765388011932373},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3757612705230713},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.75,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1982925187","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2467139031","https://openalex.org/W2476548250","https://openalex.org/W2511791013","https://openalex.org/W2565639579","https://openalex.org/W2583147637","https://openalex.org/W2584637367","https://openalex.org/W2598634450","https://openalex.org/W2747685395","https://openalex.org/W2768610172","https://openalex.org/W2795758732","https://openalex.org/W2798458055","https://openalex.org/W2891175865","https://openalex.org/W2931208564","https://openalex.org/W2962706983","https://openalex.org/W2962926870","https://openalex.org/W2963049565","https://openalex.org/W2963842104","https://openalex.org/W2964044605","https://openalex.org/W2964289004","https://openalex.org/W2986093954","https://openalex.org/W2998508940","https://openalex.org/W3098510533","https://openalex.org/W3100506510","https://openalex.org/W6719816043","https://openalex.org/W6725558437","https://openalex.org/W6732992072","https://openalex.org/W6735531217","https://openalex.org/W6743440100","https://openalex.org/W6747428963","https://openalex.org/W6754338793"],"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/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2521627374"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"part-based":[3],"models":[4],"have":[5,135],"been":[6],"verified":[7],"their":[8,32],"effectiveness":[9],"for":[10,73],"person":[11,51,74],"Re-identification":[12],"(Re-ID).":[13],"Since":[14],"they":[15],"learn":[16,68],"an":[17],"embedding":[18,72],"only":[19],"by":[20,93,139],"partitioning":[21],"single-scale":[22],"features":[23,85,92,106],"of":[24,40,58,113,147],"the":[25,29,37,41,56,64,90,100,111,120,141],"highest":[26],"layer":[27],"in":[28,50],"backbone":[30],"network,":[31],"performances":[33],"highly":[34],"depend":[35],"on":[36,125],"well-aligned":[38],"parts":[39],"extracted":[42],"feature":[43],"maps.":[44],"However,":[45],"misalignments":[46],"occur":[47],"very":[48,108],"commonly":[49,127],"Re-ID":[52],"tasks":[53],"due":[54],"to":[55,110,118],"variations":[57,112],"viewpoints":[59],"and":[60,67,97,116,133],"poses.":[61],"To":[62],"address":[63],"part-misalignment":[65,121],"problem":[66],"a":[69,78],"more":[70],"discriminative":[71],"Re-ID,":[75],"we":[76],"propose":[77],"novel":[79],"Part-based":[80],"model":[81,138],"with":[82,144],"fused":[83,104],"Multi-Scale":[84],"(PMS),":[86],"which":[87],"innovatively":[88],"upscales":[89],"low-layer":[91],"using":[94],"UpShuffle":[95],"Modules":[96],"smoothly":[98],"integrates":[99],"high-layer":[101],"features.":[102],"The":[103],"multi-scale":[105],"are":[107],"robust":[109],"pedestrian":[114],"scale":[115],"beneficial":[117],"resolve":[119],"problem.":[122],"Experimental":[123],"results":[124],"three":[126],"used":[128],"datasets,":[129],"including":[130],"Market-1501,":[131],"DukeMTMC-reID":[132],"CUHK03,":[134],"validated":[136],"our":[137],"outperforming":[140],"state-of-the-art":[142],"methods":[143],"no":[145],"need":[146],"re-ranking.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}