{"id":"https://openalex.org/W4405968089","doi":"https://doi.org/10.1109/access.2024.3524553","title":"Subset-Selection Weight Post-Training Quantization Method for Learned Image Compression Task","display_name":"Subset-Selection Weight Post-Training Quantization Method for Learned Image Compression Task","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4405968089","doi":"https://doi.org/10.1109/access.2024.3524553"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3524553","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3524553","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3524553","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101086485","display_name":"Jinru Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinru Yang","raw_affiliation_strings":["Institute of Microelectronics of the Chinese Academy of Sciences, Chaoyang, Beijing, China","School of Integrated Circuits, University of Chinese Academy of Sciences, Huairou, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics of the Chinese Academy of Sciences, Chaoyang, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Integrated Circuits, University of Chinese Academy of Sciences, Huairou, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403885","display_name":"Xiaoqin Wang","orcid":"https://orcid.org/0000-0001-5890-8079"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqin Wang","raw_affiliation_strings":["Institute of Microelectronics of the Chinese Academy of Sciences, Chaoyang, Beijing, China","School of Integrated Circuits, University of Chinese Academy of Sciences, Huairou, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics of the Chinese Academy of Sciences, Chaoyang, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Integrated Circuits, University of Chinese Academy of Sciences, Huairou, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429920","display_name":"Qiang Li","orcid":"https://orcid.org/0000-0001-9833-2836"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Li","raw_affiliation_strings":["Institute of Microelectronics of the Chinese Academy of Sciences, Chaoyang, Beijing, China","School of Integrated Circuits, University of Chinese Academy of Sciences, Huairou, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics of the Chinese Academy of Sciences, Chaoyang, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Integrated Circuits, University of Chinese Academy of Sciences, Huairou, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026870474","display_name":"Shushan Qiao","orcid":"https://orcid.org/0000-0002-9102-2111"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shushan Qiao","raw_affiliation_strings":["Institute of Microelectronics of the Chinese Academy of Sciences, Chaoyang, Beijing, China","School of Integrated Circuits, University of Chinese Academy of Sciences, Huairou, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics of the Chinese Academy of Sciences, Chaoyang, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Integrated Circuits, University of Chinese Academy of Sciences, Huairou, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006382294","display_name":"Yumei Zhou","orcid":"https://orcid.org/0000-0001-7142-2778"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yumei Zhou","raw_affiliation_strings":["Institute of Microelectronics of the Chinese Academy of Sciences, Chaoyang, Beijing, China","School of Integrated Circuits, University of Chinese Academy of Sciences, Huairou, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics of the Chinese Academy of Sciences, Chaoyang, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Integrated Circuits, University of Chinese Academy of Sciences, Huairou, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101086485"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210119392","https://openalex.org/I4210165038"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00094912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"5145","last_page":"5153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9638000130653381,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9638000130653381,"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/computer-science","display_name":"Computer science","score":0.7317546010017395},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6196041107177734},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5538967251777649},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5510891675949097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5415833592414856},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5415184497833252},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5365716218948364},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4636017084121704},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.4171910285949707},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37832117080688477},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35281890630722046},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33969563245773315},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32627415657043457},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2868642807006836},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2588235139846802},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0839964747428894}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7317546010017395},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6196041107177734},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5538967251777649},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5510891675949097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5415833592414856},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5415184497833252},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5365716218948364},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4636017084121704},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.4171910285949707},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37832117080688477},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35281890630722046},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33969563245773315},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32627415657043457},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2868642807006836},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2588235139846802},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0839964747428894},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3524553","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3524553","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:048a9fdf571142e1ab268396854c2fca","is_oa":true,"landing_page_url":"https://doaj.org/article/048a9fdf571142e1ab268396854c2fca","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 5145-5153 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3524553","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3524553","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1977556410","https://openalex.org/W2117539524","https://openalex.org/W2146395539","https://openalex.org/W2152281536","https://openalex.org/W2194775991","https://openalex.org/W2552465432","https://openalex.org/W2785562966","https://openalex.org/W2913710883","https://openalex.org/W2963149687","https://openalex.org/W3034429256","https://openalex.org/W3034469748","https://openalex.org/W3091145207","https://openalex.org/W3107622308","https://openalex.org/W3183723309","https://openalex.org/W3212865599","https://openalex.org/W4223425316","https://openalex.org/W4312600348","https://openalex.org/W4312653295","https://openalex.org/W4386076537","https://openalex.org/W4386596956","https://openalex.org/W4387448007","https://openalex.org/W6754634825","https://openalex.org/W6776767859","https://openalex.org/W6796815506","https://openalex.org/W6810281471","https://openalex.org/W6847478871","https://openalex.org/W6852842332"],"related_works":["https://openalex.org/W3209251257","https://openalex.org/W2094714038","https://openalex.org/W2530088410","https://openalex.org/W4310608238","https://openalex.org/W2740911833","https://openalex.org/W2144404403","https://openalex.org/W2106967209","https://openalex.org/W2521595930","https://openalex.org/W4243608781","https://openalex.org/W3165542721"],"abstract_inverted_index":{"Post-training":[0],"quantization(PTQ)":[1],"has":[2],"been":[3],"widely":[4],"studied":[5],"in":[6,56],"recent":[7],"years":[8],"because":[9],"it":[10,64],"does":[11],"not":[12],"require":[13],"retraining":[14],"the":[15,18,25,49,57,69,86,113,121,161],"network":[16],"or":[17,52],"entire":[19],"training":[20],"dataset.":[21],"However,":[22],"naively":[23],"applying":[24],"PTQ":[26,87,124],"method":[27,82,90,132,147],"to":[28,47,66,95,120,148],"quantize":[29],"low-level":[30],"image":[31,36,149],"tasks":[32],"such":[33],"as":[34],"learned":[35],"compression(LIC)":[37],"usually":[38],"incurs":[39],"significant":[40],"accuracy":[41],"degradation.":[42],"Existing":[43],"solutions":[44],"often":[45],"aim":[46],"optimize":[48],"calibration":[50],"process":[51],"minimize":[53],"quantization":[54,70,77,81,101,108],"loss":[55],"context":[58],"of":[59,100,163],"uniform":[60],"quantization,":[61],"which":[62],"makes":[63],"difficult":[65],"further":[67,159],"reduce":[68],"loss.":[71],"This":[72],"work":[73],"achieves":[74,133],"accurate":[75],"weight":[76,116],"using":[78],"a":[79,92,97,104],"non-uniform":[80],"called":[83],"subset-selection":[84],"within":[85],"method.":[88,165],"Subset-selection":[89],"uses":[91],"clustering":[93],"algorithm":[94],"select":[96],"proper":[98],"batch":[99],"points":[102,109],"from":[103],"large":[105],"uniformly":[106],"constructed":[107],"pool":[110],"that":[111,129],"matches":[112],"current":[114],"layer\u2019s":[115],"distribution":[117],"correctly.":[118],"Compared":[119],"state-of-the-art":[122],"LIC":[123,141],"method,":[125],"experimental":[126],"results":[127],"show":[128],"our":[130,146,164],"proposed":[131],"an":[134,154],"average":[135,155],"0.8%":[136],"better":[137,157],"BD-rate":[138],"on":[139],"several":[140],"models.":[142],"Meanwhile,":[143],"we":[144],"extended":[145],"classification":[150],"models":[151],"and":[152],"achieved":[153],"0.64%":[156],"accuracy,":[158],"proving":[160],"generalization":[162]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
