{"id":"https://openalex.org/W2951594688","doi":"https://doi.org/10.1145/3325730.3325764","title":"MFBN","display_name":"MFBN","publication_year":2019,"publication_date":"2019-04-12","ids":{"openalex":"https://openalex.org/W2951594688","doi":"https://doi.org/10.1145/3325730.3325764","mag":"2951594688"},"language":"en","primary_location":{"id":"doi:10.1145/3325730.3325764","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3325730.3325764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 4th International Conference on Mathematics and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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/A5090938413","display_name":"Shengyi He","orcid":"https://orcid.org/0000-0001-8521-8639"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengyi He","raw_affiliation_strings":["Department of computer, Science and Technology University of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of computer, Science and Technology University of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112446278","display_name":"Junmin Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junmin Wu","raw_affiliation_strings":["Department of computer, Science and Technology University of China, Hefei, China, Suzhou Institute for Advanced Study of USTC, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of computer, Science and Technology University of China, Hefei, China, Suzhou Institute for Advanced Study of USTC, Suzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100610224","display_name":"Yuqian Li","orcid":"https://orcid.org/0000-0002-6364-5063"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqian Li","raw_affiliation_strings":["Department of computer, Science and Technology University of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of computer, Science and Technology University of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0915,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.31867446,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"44","last_page":"50"},"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":0.9955000281333923,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9902999997138977,"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/granularity","display_name":"Granularity","score":0.8735814094543457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8563759326934814},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.8147690296173096},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5239006280899048},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.5155220031738281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4842767119407654},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3970705270767212},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36941951513290405},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06439661979675293}],"concepts":[{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.8735814094543457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8563759326934814},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8147690296173096},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5239006280899048},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.5155220031738281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4842767119407654},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3970705270767212},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36941951513290405},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06439661979675293},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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:10.1145/3325730.3325764","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3325730.3325764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 4th International Conference on Mathematics and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1928419358","https://openalex.org/W1982925187","https://openalex.org/W2108598243","https://openalex.org/W2120419212","https://openalex.org/W2204750386","https://openalex.org/W2408074187","https://openalex.org/W2432402544","https://openalex.org/W2467139031","https://openalex.org/W2511791013","https://openalex.org/W2518108298","https://openalex.org/W2584637367","https://openalex.org/W2598634450","https://openalex.org/W2606377603","https://openalex.org/W2614892441","https://openalex.org/W2626373159","https://openalex.org/W2752782242","https://openalex.org/W2769346661","https://openalex.org/W2770076563","https://openalex.org/W2783702274","https://openalex.org/W2788012242","https://openalex.org/W2795013471","https://openalex.org/W2795758732","https://openalex.org/W2798794112","https://openalex.org/W2798874329","https://openalex.org/W2884375749","https://openalex.org/W2898083898","https://openalex.org/W2899771611","https://openalex.org/W2949650786","https://openalex.org/W2964289004","https://openalex.org/W3100506510","https://openalex.org/W3100555577","https://openalex.org/W4254373586","https://openalex.org/W6687483927","https://openalex.org/W6687888618","https://openalex.org/W6743731764","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W2999756192","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060","https://openalex.org/W936373746","https://openalex.org/W3082059448","https://openalex.org/W4313640622"],"abstract_inverted_index":{"Person":[0],"Re-IDentification":[1],"(Re-ID)":[2],"has":[3,141],"developed":[4],"rapidly":[5],"with":[6,54,83,119],"deep":[7],"learning":[8],"methods,":[9,13],"as":[10,73,103],"for":[11,26,38],"these":[12,41,90,138],"the":[14,35,49],"base":[15,50,70,105,144],"mod-":[16],"els":[17],"used":[18],"in":[19,85,134],"most":[20],"of":[21,81,162],"them":[22],"are":[23,43,176],"not":[24,45],"customized":[25],"Re-ID":[27,39,152],"task.":[28],"Although":[29],"some":[30],"studies":[31],"have":[32],"carefully":[33],"designed":[34],"models":[36,42,145,175],"special":[37],"task,":[40],"always":[44],"easy":[46,98],"to":[47,58,99,113,129],"be":[48,100],"model":[51,71],"and":[52,124,146,157,167,173],"expand":[53],"new":[55],"methods":[56],"due":[57],"their":[59],"great":[60],"complexity.":[61],"In":[62],"this":[63],"paper,":[64],"we":[65],"propose":[66],"a":[67,104],"novel":[68],"efficient":[69],"named":[72],"Multi-granularity":[74],"Feature":[75],"Boosting":[76],"Network":[77],"(MFBN).":[78],"MFBN":[79,88,96,108,140,159],"consists":[80],"branches":[82,91],"information":[84],"different":[86],"granularities.":[87,136],"combines":[89],"into":[92],"one":[93],"whole,":[94],"so":[95],"is":[97],"ex-":[101],"tended":[102],"model.":[106],"Moreover,":[107],"applies":[109,125],"feature":[110],"boosting":[111],"technique":[112],"boost":[114],"fine":[115],"granularitiy":[116],"branch":[117,122],"features":[118,133],"coarse":[120],"granularity":[121],"features,":[123],"channel-":[126],"wise":[127],"attention":[128],"increase":[130],"diversities":[131],"between":[132],"multiple":[135],"With":[137],"improves,":[139],"surpassed":[142],"popular":[143],"got":[147],"state-of-the-art":[148],"results":[149,161],"on":[150,164,169],"mainstream":[151],"datasets":[153],"including":[154],"Market-1501,":[155],"DukeMTMC-reID":[156,170],"CUHK-03.":[158],"achieves":[160],"rank-1/mAP=95.2%/93.2%":[163],"Market-1501":[165],"dataset":[166],"rank-1/mAP=90.3%/88.3%":[168],"dataset.":[171],"Code":[172],"pretrained":[174],"available":[177],"at":[178],"https://github.com/hsyi/Multi-granularity-Feature-Boosting-Network":[179]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2019-06-27T00:00:00"}
