{"id":"https://openalex.org/W4400908817","doi":"https://doi.org/10.1109/siu61531.2024.10601127","title":"Comparative Analysis of Quantization Optimizations for Single-Image Super-Resolution Models","display_name":"Comparative Analysis of Quantization Optimizations for Single-Image Super-Resolution Models","publication_year":2024,"publication_date":"2024-05-15","ids":{"openalex":"https://openalex.org/W4400908817","doi":"https://doi.org/10.1109/siu61531.2024.10601127"},"language":"en","primary_location":{"id":"doi:10.1109/siu61531.2024.10601127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10601127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","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/A5047539410","display_name":"Alparslan Fi\u0219ne","orcid":"https://orcid.org/0000-0003-2120-9260"},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Alparslan Fi\u015fne","raw_affiliation_strings":["ASELSAN,T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"ASELSAN,T&#x00FC;rkiye","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050257530","display_name":"Alperen Kalay","orcid":null},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Alperen Kalay","raw_affiliation_strings":["ASELSAN,T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"ASELSAN,T&#x00FC;rkiye","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084868422","display_name":"Bahri Batuhan Bilecen","orcid":null},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Bahri Batuhan Bilecen","raw_affiliation_strings":["ASELSAN,T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"ASELSAN,T&#x00FC;rkiye","institution_ids":["https://openalex.org/I56303344"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047539410"],"corresponding_institution_ids":["https://openalex.org/I56303344"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10653216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9919000267982483,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9919000267982483,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9769999980926514,"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":0.6695975661277771},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6427268385887146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4379587173461914},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3593364953994751},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33418530225753784}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6695975661277771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6427268385887146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4379587173461914},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3593364953994751},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33418530225753784}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu61531.2024.10601127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10601127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"This":[0],"study":[1],"describes":[2],"how":[3],"to":[4,53,88,101],"increase":[5],"inference":[6,76,99],"performance":[7,31],"without":[8],"critical":[9],"image":[10],"quality":[11],"loss":[12],"by":[13,51],"using":[14,83],"post-training":[15],"quantization":[16,45],"methods":[17],"for":[18,62],"lightweight":[19],"single-image":[20],"super-resolution":[21],"(SISR)":[22],"models.":[23,39],"To":[24],"observe":[25],"this":[26],"improvement,":[27],"we":[28,68],"compare":[29,69],"the":[30,33,37,47,70,89,92,98,102],"of":[32,78],"quantized":[34,93,103],"models":[35,50],"with":[36,95],"original":[38,48],"Benchmark":[40],"tests":[41],"show":[42],"that":[43,105],"8-bit":[44],"accelerates":[46,97],"SISR":[49],"1.3x":[52],"2.7x":[54],"on":[55],"an":[56,84],"energy":[57],"efficient":[58],"GPU":[59],"computing":[60],"unit":[61],"various":[63],"datasets.":[64],"In":[65],"our":[66],"experiments,":[67],"peak":[71],"signal-to-noise":[72],"ratio":[73],"(PSNR)":[74],"and":[75],"times":[77],"commonly":[79],"used":[80],"activation":[81],"functions":[82],"interoperability":[85],"framework.":[86],"According":[87],"test":[90],"results,":[91],"model":[94,104],"ReLU":[96],"compared":[100],"originally":[106],"contained":[107],"Tanh.":[108]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
