{"id":"https://openalex.org/W4366821684","doi":"https://doi.org/10.1109/tip.2023.3268562","title":"MBFQuant: A Multiplier-Bitwidth-Fixed, Mixed-Precision Quantization Method for Mobile CNN-Based Applications","display_name":"MBFQuant: A Multiplier-Bitwidth-Fixed, Mixed-Precision Quantization Method for Mobile CNN-Based Applications","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4366821684","doi":"https://doi.org/10.1109/tip.2023.3268562","pmid":"https://pubmed.ncbi.nlm.nih.gov/37093728"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2023.3268562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3268562","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100416319","display_name":"Peng Peng","orcid":"https://orcid.org/0000-0002-1240-1560"},"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":"Peng Peng","raw_affiliation_strings":["Department of Control Science and Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1240-1560","affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010299064","display_name":"Mingyu You","orcid":"https://orcid.org/0000-0003-2758-167X"},"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":"Mingyu You","raw_affiliation_strings":["Department of Control Science and Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2758-167X","affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018178704","display_name":"Kai Jiang","orcid":"https://orcid.org/0000-0002-4094-9531"},"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":"Kai Jiang","raw_affiliation_strings":["Department of Control Science and Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4094-9531","affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011459069","display_name":"Youzao Lian","orcid":"https://orcid.org/0000-0002-2934-6908"},"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":"Youzao Lian","raw_affiliation_strings":["Department of Control Science and Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2934-6908","affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110095745","display_name":"Weisheng Xu","orcid":null},"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":"Weisheng Xu","raw_affiliation_strings":["Department of Control Science and Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":2.3588,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.89852122,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"32","issue":null,"first_page":"2438","last_page":"2453"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9959999918937683,"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":0.9943000078201294,"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/quantization","display_name":"Quantization (signal processing)","score":0.8334863185882568},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7269777059555054},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.655341386795044},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4661864936351776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27686482667922974}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.8334863185882568},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7269777059555054},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.655341386795044},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4661864936351776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27686482667922974}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2023.3268562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3268562","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:37093728","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37093728","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2701178210","display_name":null,"funder_award_id":"62073244","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4452400137","display_name":null,"funder_award_id":"19DZ1209200","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W2194775991","https://openalex.org/W2276486856","https://openalex.org/W2300242332","https://openalex.org/W2469490737","https://openalex.org/W2618473517","https://openalex.org/W2794754997","https://openalex.org/W2809624076","https://openalex.org/W2883780447","https://openalex.org/W2884150179","https://openalex.org/W2887063112","https://openalex.org/W2887651422","https://openalex.org/W2896778017","https://openalex.org/W2903260438","https://openalex.org/W2949264490","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963911621","https://openalex.org/W2963946985","https://openalex.org/W2965658867","https://openalex.org/W2966976000","https://openalex.org/W2981751377","https://openalex.org/W2982041622","https://openalex.org/W2982479999","https://openalex.org/W2988089665","https://openalex.org/W2997958863","https://openalex.org/W3008408165","https://openalex.org/W3018757597","https://openalex.org/W3034940165","https://openalex.org/W3035460915","https://openalex.org/W3040522390","https://openalex.org/W3088798822","https://openalex.org/W3097297321","https://openalex.org/W3108833523","https://openalex.org/W3108835732","https://openalex.org/W3110519017","https://openalex.org/W3113797829","https://openalex.org/W3132986466","https://openalex.org/W3166859509","https://openalex.org/W3167976421","https://openalex.org/W3175491384","https://openalex.org/W3175730059","https://openalex.org/W3204480651","https://openalex.org/W4255158661","https://openalex.org/W4288026258","https://openalex.org/W4288334594","https://openalex.org/W6638667902","https://openalex.org/W6720242923","https://openalex.org/W6734593296","https://openalex.org/W6752135919","https://openalex.org/W6753069482","https://openalex.org/W6756979132","https://openalex.org/W6763724728","https://openalex.org/W6770425567","https://openalex.org/W6777046832","https://openalex.org/W6789240164","https://openalex.org/W6790152577","https://openalex.org/W6796816976","https://openalex.org/W6948547670"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4293226380","https://openalex.org/W2382290278","https://openalex.org/W2478288626"],"abstract_inverted_index":{"Deploying":[0],"Convolutional":[1],"Neural":[2],"Network":[3,33],"(CNN)-based":[4],"applications":[5],"to":[6,13,174,179,190,202],"mobile":[7,22,66],"platforms":[8],"can":[9,46,108,155,183],"be":[10],"challenging":[11],"due":[12],"the":[14,17,25,55,58,82,90,93,105,111,118,121,125,128,139,158,164],"conflict":[15],"between":[16],"restricted":[18],"computing":[19],"capacity":[20],"of":[21,29,39,92,120,124,131,141,188],"devices":[23],"and":[24,51,73,127,161,195],"heavy":[26],"computational":[27],"overhead":[28],"running":[30,113],"a":[31,36,71,132,135,142,149,203],"CNN.":[32],"quantization":[34,45,76,87,122],"is":[35,53,134],"promising":[37],"way":[38],"alleviating":[40],"this":[41,52],"problem.":[42],"However,":[43],"network":[44],"result":[47],"in":[48,186],"accuracy":[49,140,187],"degradation":[50],"especially":[54],"case":[56],"with":[57,200],"compact":[59],"CNN":[60,144,172],"architectures":[61,173],"that":[62,104,154,181],"are":[63],"designed":[64],"for":[65,85,192,197],"applications.":[67],"This":[68],"paper":[69],"presents":[70],"novel":[72],"efficient":[74],"mixed-precision":[75,86],"pipeline,":[77],"called":[78],"MBFQuant.":[79],"It":[80],"redefines":[81],"design":[83,159],"space":[84],"by":[88],"keeping":[89],"bitwidth":[91,123,166,206],"multiplier":[94],"fixed,":[95],"unlike":[96],"other":[97],"existing":[98],"methods,":[99],"because":[100],"we":[101,146],"have":[102,147,177],"found":[103],"quantized":[106,143,207],"model":[107],"maintain":[109],"almost":[110],"same":[112],"efficiency,":[114],"so":[115],"long":[116],"as":[117],"sum":[119],"weight":[126],"input":[129],"activation":[130],"layer":[133],"constant.":[136],"To":[137],"maximize":[138],"model,":[145],"developed":[148],"Simulated":[150],"Annealing":[151],"(SA)-based":[152],"optimizer":[153],"automatically":[156],"explore":[157],"space,":[160],"rapidly":[162],"find":[163],"optimal":[165],"assignment.":[167],"Comprehensive":[168],"evaluations":[169],"applying":[170],"ten":[171],"four":[175],"datasets":[176],"served":[178],"demonstrate":[180],"MBFQuant":[182],"achieve":[184],"improvements":[185],"up":[189],"19.34%":[191],"image":[193],"classification":[194],"1.12%":[196],"object":[198],"detection,":[199],"respect":[201],"corresponding":[204],"uniform":[205],"model.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":8}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}