{"id":"https://openalex.org/W4386597292","doi":"https://doi.org/10.1109/icip49359.2023.10222721","title":"TAQ: Top-K Attention-Aware Quantization for Vision Transformers","display_name":"TAQ: Top-K Attention-Aware Quantization for Vision Transformers","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386597292","doi":"https://doi.org/10.1109/icip49359.2023.10222721"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","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/A5101045649","display_name":"Lili Shi","orcid":"https://orcid.org/0009-0004-7027-6237"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lili Shi","raw_affiliation_strings":["Xi’an Jiaotong University,Institute of Artificial Intelligence and Robotics,China"],"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,Institute of Artificial Intelligence and Robotics,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003944732","display_name":"Haiduo Huang","orcid":"https://orcid.org/0009-0000-6726-9221"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiduo Huang","raw_affiliation_strings":["Xi’an Jiaotong University,Institute of Artificial Intelligence and Robotics,China"],"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,Institute of Artificial Intelligence and Robotics,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078928096","display_name":"Bowei Song","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162213","display_name":"China Electronics Standardization Institute","ror":"https://ror.org/05hxrpj87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210162213","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowei Song","raw_affiliation_strings":["China Electronics Standardization Institute"],"affiliations":[{"raw_affiliation_string":"China Electronics Standardization Institute","institution_ids":["https://openalex.org/I4210162213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101119680","display_name":"Meng Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Tan","raw_affiliation_strings":["Xi’an Jiaotong University,Institute of Artificial Intelligence and Robotics,China"],"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,Institute of Artificial Intelligence and Robotics,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103215955","display_name":"Wenzhe Zhao","orcid":"https://orcid.org/0009-0009-1517-9422"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzhe Zhao","raw_affiliation_strings":["Xi’an Jiaotong University,Institute of Artificial Intelligence and Robotics,China"],"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,Institute of Artificial Intelligence and Robotics,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032104477","display_name":"Tian Xia","orcid":"https://orcid.org/0000-0002-2520-3731"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Xia","raw_affiliation_strings":["Xi’an Jiaotong University,Institute of Artificial Intelligence and Robotics,China"],"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,Institute of Artificial Intelligence and Robotics,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044243518","display_name":"Pengju Ren","orcid":"https://orcid.org/0000-0003-1163-2014"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengju Ren","raw_affiliation_strings":["Xi’an Jiaotong University,Institute of Artificial Intelligence and Robotics,China"],"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,Institute of Artificial Intelligence and Robotics,China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101045649"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10597202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1750","last_page":"1754"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9976999759674072,"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":0.7113136053085327},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.7044895887374878},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5857517719268799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5154827237129211},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43285056948661804},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40693747997283936},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30036747455596924},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09078890085220337}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7113136053085327},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7044895887374878},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5857517719268799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5154827237129211},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43285056948661804},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40693747997283936},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30036747455596924},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09078890085220337},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5799999833106995}],"awards":[{"id":"https://openalex.org/G1900829300","display_name":null,"funder_award_id":"2022YFB4500500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2587268797","display_name":null,"funder_award_id":"2021YFB0300900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4302849700","display_name":null,"funder_award_id":"2021YFB","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7777819896","display_name":null,"funder_award_id":"-2022","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8788828744","display_name":null,"funder_award_id":"2022ZDLGY01-08","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2117539524","https://openalex.org/W2809624076","https://openalex.org/W2978017171","https://openalex.org/W3035183452","https://openalex.org/W3035855442","https://openalex.org/W3038470071","https://openalex.org/W3096609285","https://openalex.org/W3138516171","https://openalex.org/W3166859509","https://openalex.org/W3170841864","https://openalex.org/W3204801262","https://openalex.org/W3211787299","https://openalex.org/W4226174177","https://openalex.org/W4285601701","https://openalex.org/W4287118909","https://openalex.org/W4312340826","https://openalex.org/W4312383953","https://openalex.org/W4312857960","https://openalex.org/W4313069943","https://openalex.org/W4382318618","https://openalex.org/W6753069482","https://openalex.org/W6768851824","https://openalex.org/W6776767859","https://openalex.org/W6779813529","https://openalex.org/W6780343938","https://openalex.org/W6784333009","https://openalex.org/W6788135285","https://openalex.org/W6789240164","https://openalex.org/W6796815506","https://openalex.org/W6797854001","https://openalex.org/W6810763290"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2989452537","https://openalex.org/W2052122378","https://openalex.org/W2544423928","https://openalex.org/W2062023542"],"abstract_inverted_index":{"Model":[0],"quantization":[1,54,68,77],"can":[2],"reduce":[3],"the":[4,8,13,17,27,33,60,67,73,81,85,107,120,129,141],"memory":[5],"footprint":[6],"of":[7,35,88],"neural":[9],"network":[10],"and":[11,38,75,95,101,114,117,133,138],"improve":[12],"computing":[14],"efficiency.":[15],"However,":[16],"sparse":[18],"attention":[19,36,40,109,121],"in":[20],"Transformer":[21,93],"models":[22],"is":[23,30],"difficult":[24],"to":[25,44,65,79],"quantize,":[26],"main":[28],"challenge":[29],"that":[31],"changing":[32],"order":[34],"values":[37],"shifting":[39,122],"regions":[41],"might":[42],"lead":[43],"incorrect":[45],"prediction":[46],"results.":[47],"To":[48],"address":[49],"this":[50],"problem,":[51],"we":[52,71],"propose":[53],"method,":[55],"termed":[56],"TAQ,":[57],"which":[58],"uses":[59],"proposed":[61],"TOP-K":[62,108],"attention-aware":[63],"loss":[64],"search":[66],"parameters.":[69],"Further,":[70],"combine":[72],"sequential":[74],"parallel":[76],"methods":[78],"optimize":[80],"procedure.":[82],"We":[83],"evaluate":[84],"generalization":[86],"ability":[87],"TAQ":[89,105,127],"on":[90,98,136],"various":[91],"vision":[92],"variants,":[94],"its":[96],"performance":[97,130],"image":[99],"classification":[100],"object":[102],"detection":[103],"tasks.":[104],"makes":[106],"ranking":[110],"more":[111],"consistent":[112],"before":[113],"after":[115],"quantization,":[116],"significantly":[118],"reduces":[119],"rate,":[123],"compared":[124],"with":[125],"PTQ4ViT,":[126],"improves":[128],"by":[131],"0.66":[132],"0.45,":[134],"respectively":[135],"ImageNet":[137],"COCO,":[139],"achieves":[140],"state-of-the-art":[142],"performance.":[143]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}