{"id":"https://openalex.org/W3189214247","doi":"https://doi.org/10.24963/ijcai.2021/687","title":"Hardware-friendly Deep Learning by Network Quantization and Binarization","display_name":"Hardware-friendly Deep Learning by Network Quantization and Binarization","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3189214247","doi":"https://doi.org/10.24963/ijcai.2021/687","mag":"3189214247"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/687","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/687","pdf_url":"https://www.ijcai.org/proceedings/2021/0687.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2021/0687.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044945190","display_name":"Haotong Qin","orcid":"https://orcid.org/0000-0001-7391-7539"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haotong Qin","raw_affiliation_strings":["Beihang University","Honors College, Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Honors College, Beihang University","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5044945190"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.305,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.56532582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4911","last_page":"4912"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9993000030517578,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10531","display_name":"Advanced Vision and Imaging","score":0.998199999332428,"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":0.9110126495361328},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7413526773452759},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7069463133811951},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5807034373283386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.536177933216095},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4623130261898041},{"id":"https://openalex.org/keywords/learning-vector-quantization","display_name":"Learning vector quantization","score":0.432379812002182},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3539732098579407},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2585458755493164}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.9110126495361328},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7413526773452759},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7069463133811951},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5807034373283386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.536177933216095},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4623130261898041},{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.432379812002182},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3539732098579407},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2585458755493164}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2021/687","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/687","pdf_url":"https://www.ijcai.org/proceedings/2021/0687.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2112.00737","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.00737","pdf_url":"https://arxiv.org/pdf/2112.00737","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2021/687","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/687","pdf_url":"https://www.ijcai.org/proceedings/2021/0687.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3189214247.pdf","grobid_xml":"https://content.openalex.org/works/W3189214247.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W3008515144","https://openalex.org/W3034297393","https://openalex.org/W3036208378","https://openalex.org/W3093045626","https://openalex.org/W3175491384"],"related_works":["https://openalex.org/W4377865163","https://openalex.org/W3193857078","https://openalex.org/W2888956734","https://openalex.org/W3000197790","https://openalex.org/W4315865067","https://openalex.org/W2979433843","https://openalex.org/W3208304128","https://openalex.org/W3204400881","https://openalex.org/W4390846322","https://openalex.org/W3214410901"],"abstract_inverted_index":{"Quantization":[0,40,45],"is":[1],"emerging":[2],"as":[3],"an":[4],"efficient":[5],"approach":[6],"to":[7,27,67,95],"promote":[8],"hardware-friendly":[9,87],"deep":[10,14,88],"learning":[11],"and":[12,44,59,61,70,84,90],"run":[13],"neural":[15],"networks":[16],"on":[17,46,53,56,76],"resource-limited":[18],"hardware.":[19],"However,":[20],"it":[21,92],"still":[22],"causes":[23],"a":[24],"significant":[25],"decrease":[26],"the":[28,63],"network":[29],"in":[30],"accuracy.":[31],"We":[32],"summarize":[33],"challenges":[34],"of":[35,65],"quantization":[36,55,66,77],"into":[37],"two":[38],"categories:":[39],"for":[41],"Diverse":[42],"Architectures":[43],"Complex":[47],"Scenes.":[48],"Our":[49],"studies":[50],"focus":[51],"mainly":[52],"applying":[54],"various":[57],"architectures":[58],"scenes":[60],"pushing":[62],"limit":[64],"extremely":[68],"compress":[69],"accelerate":[71],"networks.":[72],"The":[73],"comprehensive":[74],"research":[75],"will":[78],"achieve":[79],"more":[80,82,85,96],"powerful,":[81],"efficient,":[83],"flexible":[86],"learning,":[89],"make":[91],"better":[93],"suited":[94],"real-world":[97],"applications.":[98]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
