{"id":"https://openalex.org/W4387227562","doi":"https://doi.org/10.1145/3570361.3615753","title":"A Joint Analysis of Input Resolution and Quantization Precision in Deep Learning","display_name":"A Joint Analysis of Input Resolution and Quantization Precision in Deep Learning","publication_year":2023,"publication_date":"2023-09-30","ids":{"openalex":"https://openalex.org/W4387227562","doi":"https://doi.org/10.1145/3570361.3615753"},"language":"en","primary_location":{"id":"doi:10.1145/3570361.3615753","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570361.3615753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th Annual International Conference on Mobile Computing and Networking","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/A5103010654","display_name":"S. K. Kim","orcid":"https://orcid.org/0000-0001-5931-5873"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Seonjun Kim","raw_affiliation_strings":["Seoul National University, Seoul, Korea, South ? Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Korea, South ? Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340264","display_name":"Minjae Kim","orcid":"https://orcid.org/0000-0002-6369-245X"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minjae Kim","raw_affiliation_strings":["Seoul National University, Seoul, Korea, South ? Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Korea, South ? Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114626700","display_name":"Youngki Lee","orcid":"https://orcid.org/0000-0002-1319-7071"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngki Lee","raw_affiliation_strings":["Seoul National University, Seoul, Korea, South ? Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Korea, South ? Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103010654"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":0.1204,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42076839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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":0.9993000030517578,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9979000091552734,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.8034795522689819},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7693217992782593},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.7165191769599915},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6808328032493591},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6282459497451782},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.5263263583183289},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5246199369430542},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5191775560379028},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.5010416507720947},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.44455817341804504},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.38029810786247253},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34840500354766846},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28951019048690796},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.22158700227737427},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.12224772572517395},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11138132214546204}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.8034795522689819},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7693217992782593},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7165191769599915},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6808328032493591},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6282459497451782},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.5263263583183289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5246199369430542},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5191775560379028},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.5010416507720947},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.44455817341804504},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.38029810786247253},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34840500354766846},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28951019048690796},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.22158700227737427},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.12224772572517395},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11138132214546204},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3570361.3615753","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570361.3615753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th Annual International Conference on Mobile Computing and Networking","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5199999809265137,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2085114431","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2468875367","https://openalex.org/W2626129225","https://openalex.org/W2963122961","https://openalex.org/W2963163009","https://openalex.org/W2987144427","https://openalex.org/W3209905867","https://openalex.org/W6600336938"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W3204400881","https://openalex.org/W3214410901","https://openalex.org/W3204296682","https://openalex.org/W3183118997","https://openalex.org/W2917767146"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"models":[2],"have":[3],"become":[4],"increasingly":[5],"prevalent":[6],"in":[7,26,49],"various":[8],"domains,":[9],"necessitating":[10],"their":[11],"deployment":[12],"on":[13,39],"resource-constrained":[14],"devices.":[15],"Quantization":[16],"is":[17,46],"a":[18,51],"promising":[19],"way":[20],"to":[21,37],"reduce":[22],"the":[23,35],"model":[24,30,36],"complexity":[25],"that":[27],"it":[28],"keeps":[29],"architecture":[31],"intact":[32],"and":[33,55],"enables":[34],"operate":[38],"specialized":[40],"hardwares(e.g.,":[41],"NPU,":[42],"DSP).":[43],"Input":[44],"resolution":[45],"also":[47],"essential":[48],"making":[50],"trade-off":[52],"between":[53],"accuracy":[54],"computation.":[56]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}