{"id":"https://openalex.org/W2964008506","doi":"https://doi.org/10.48550/arxiv.1711.11294","title":"Towards Accurate Binary Convolutional Neural Network","display_name":"Towards Accurate Binary Convolutional Neural Network","publication_year":2017,"publication_date":"2017-11-30","ids":{"openalex":"https://openalex.org/W2964008506","doi":"https://doi.org/10.48550/arxiv.1711.11294","mag":"2964008506"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1711.11294","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1711.11294","pdf_url":"https://arxiv.org/pdf/1711.11294","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1711.11294","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108543316","display_name":"Xiaofan Lin","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210148944","display_name":"D\u00e0-Ji\u0101ng Innovations Science and Technology (China)","ror":"https://ror.org/04fmkfb67","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210148944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin, Xiaofan","raw_affiliation_strings":["DJI Innovations Inc , Shenzhen , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DJI Innovations Inc , Shenzhen , China","institution_ids":["https://openalex.org/I4210148944"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037412714","display_name":"Cong Zhao","orcid":"https://orcid.org/0000-0002-9002-4350","observed_orcids":["https://orcid.org/0000-0002-9002-4350"]},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I4210148944","display_name":"D\u00e0-Ji\u0101ng Innovations Science and Technology (China)","ror":"https://ror.org/04fmkfb67","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210148944"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Zhao, Cong","raw_affiliation_strings":["DJI Innovations Inc , Shenzhen , China","Chinese University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DJI Innovations Inc , Shenzhen , China","institution_ids":["https://openalex.org/I4210148944"]},{"raw_affiliation_string":"Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":null,"display_name":"Pan, Wei","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]},{"id":"https://openalex.org/I4210148944","display_name":"D\u00e0-Ji\u0101ng Innovations Science and Technology (China)","ror":"https://ror.org/04fmkfb67","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210148944"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Pan, Wei","raw_affiliation_strings":["DJI Innovations Inc , Shenzhen , China","Long Beach , CA , USA","Duke University, Durham, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DJI Innovations Inc , Shenzhen , China","institution_ids":["https://openalex.org/I4210148944"]},{"raw_affiliation_string":"Long Beach , CA , USA","institution_ids":[]},{"raw_affiliation_string":"Duke University, Durham, United States","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":574,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"345","last_page":"353"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9990000128746033,"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":0.9990000128746033,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10320","display_name":"Neural Networks and Applications","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/binary-convolutional-neural-networks","display_name":"binary convolutional neural networks","score":0.9639999866485596},{"id":"https://openalex.org/keywords/binarization","display_name":"binarization","score":0.7329999804496765},{"id":"https://openalex.org/keywords/binary-weights","display_name":"binary weights","score":0.5519999861717224},{"id":"https://openalex.org/keywords/low-precision-inference","display_name":"low-precision inference","score":0.6610000133514404},{"id":"https://openalex.org/keywords/bitwise-operations","display_name":"bitwise operations","score":0.5299999713897705},{"id":"https://openalex.org/keywords/accuracy-degradation","display_name":"accuracy degradation","score":0.4309999942779541}],"concepts":[{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.7803711891174316},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7443228960037231},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7276249527931213},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5403603911399841},{"id":"https://openalex.org/C37061001","wikidata":"https://www.wikidata.org/wiki/Q3531721","display_name":"Binary Independence Model","level":3,"score":0.4603760838508606},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45309287309646606},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35206669569015503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3347034752368927},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.21640831232070923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13056865334510803}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:1711.11294","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1711.11294","pdf_url":"https://arxiv.org/pdf/1711.11294","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1711.11294","doi":"https://doi.org/10.48550/arxiv.1711.11294","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1711.11294","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:2964008506","doi":null,"is_oa":false,"landing_page_url":"https://papers.nips.cc/paper/6638-towards-accurate-binary-convolutional-neural-network.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4363606243","display_name":"neural information processing systems","issn_l":"1049-5258","issn":["1049-5258"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Neural Information Processing Systems","raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1711.11294","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1711.11294","pdf_url":"https://arxiv.org/pdf/1711.11294","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964008506.pdf","grobid_xml":"https://content.openalex.org/works/W2964008506.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W2242818861","https://openalex.org/W2319920447","https://openalex.org/W2469490737","https://openalex.org/W2524428287","https://openalex.org/W2529546376","https://openalex.org/W2586654419","https://openalex.org/W2964121744"],"related_works":["https://openalex.org/W3004734842","https://openalex.org/W2976833605","https://openalex.org/W3090718166","https://openalex.org/W2971151900","https://openalex.org/W3089751103","https://openalex.org/W2995097845","https://openalex.org/W3129119220","https://openalex.org/W2996538923","https://openalex.org/W2300242332","https://openalex.org/W2903462692"],"abstract_inverted_index":{"We":[0],"introduce":[1],"a":[2],"novel":[3],"scheme":[4],"to":[5,19,50,101,117,122],"train":[6],"binary":[7,29,93,99,110,141],"convolutional":[8],"neural":[9],"networks":[10],"(CNNs)":[11],"--":[12],"CNNs":[13,64],"with":[14,44,79,87],"weights":[15,30,86],"and":[16,31,37,39,55,126,135,144],"activations":[17,32,100],"constrained":[18],"{-1,+1}":[20],"at":[21],"run-time.":[22],"It":[23],"has":[24],"been":[25],"known":[26],"that":[27],"using":[28],"drastically":[33],"reduce":[34],"memory":[35],"size":[36],"accesses,":[38],"can":[40],"replace":[41],"arithmetic":[42],"operations":[43],"more":[45],"efficient":[46],"bitwise":[47],"operations,":[48],"leading":[49],"much":[51,119],"faster":[52],"test-time":[53],"inference":[54],"lower":[56],"power":[57],"consumption.":[58],"However,":[59],"previous":[60],"works":[61],"on":[62,133],"binarizing":[63],"usually":[65],"result":[66],"in":[67],"severe":[68],"prediction":[69,131],"accuracy":[70,132],"degradation.":[71],"In":[72],"this":[73,77],"paper,":[74],"we":[75],"address":[76],"issue":[78],"two":[80],"major":[81],"innovations:":[82],"(1)":[83],"approximating":[84],"full-precision":[85,124],"the":[88,108,129],"linear":[89],"combination":[90],"of":[91,107],"multiple":[92,98],"weight":[94,142],"bases;":[95],"(2)":[96],"employing":[97],"alleviate":[102],"information":[103],"loss.":[104],"The":[105],"implementation":[106],"resulting":[109],"CNN,":[111],"denoted":[112],"as":[113],"ABC-Net,":[114],"is":[115],"shown":[116],"achieve":[118],"closer":[120],"performance":[121],"its":[123],"counterpart,":[125],"even":[127],"reach":[128],"comparable":[130],"ImageNet":[134],"forest":[136],"trail":[137],"datasets,":[138],"given":[139],"adequate":[140],"bases":[143],"activations.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":44},{"year":2023,"cited_by_count":57},{"year":2022,"cited_by_count":71},{"year":2021,"cited_by_count":131},{"year":2020,"cited_by_count":124},{"year":2019,"cited_by_count":91},{"year":2018,"cited_by_count":36},{"year":2017,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-07-30T00:00:00"}
