{"id":"https://openalex.org/W4409347138","doi":"https://doi.org/10.1609/aaai.v39i15.33761","title":"MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity","display_name":"MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity","publication_year":2025,"publication_date":"2025-04-11","ids":{"openalex":"https://openalex.org/W4409347138","doi":"https://doi.org/10.1609/aaai.v39i15.33761"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v39i15.33761","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i15.33761","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/33761/35916","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/33761/35916","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043170949","display_name":"Kanghyun Choi","orcid":"https://orcid.org/0000-0002-4238-8176"},"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":"Kanghyun Choi","raw_affiliation_strings":["Seoul National University"],"affiliations":[{"raw_affiliation_string":"Seoul National University","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108725006","display_name":"Hyeyoon Lee","orcid":null},"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":"Hyeyoon Lee","raw_affiliation_strings":["Seoul National University"],"affiliations":[{"raw_affiliation_string":"Seoul National University","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113315353","display_name":"Dain Kwon","orcid":null},"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":"Dain Kwon","raw_affiliation_strings":["Seoul National University"],"affiliations":[{"raw_affiliation_string":"Seoul National University","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066299755","display_name":"SunJong Park","orcid":null},"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":"SunJong Park","raw_affiliation_strings":["Seoul National University"],"affiliations":[{"raw_affiliation_string":"Seoul National University","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108800476","display_name":"Kyuyeun Kim","orcid":"https://orcid.org/0009-0008-9712-286X"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyuyeun Kim","raw_affiliation_strings":["Google"],"affiliations":[{"raw_affiliation_string":"Google","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067253588","display_name":"Noseong Park","orcid":"https://orcid.org/0000-0002-1268-840X"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Noseong Park","raw_affiliation_strings":["Korea Advanced Institute of Science & Technology"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science & Technology","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073483751","display_name":"Jonghyun Choi","orcid":"https://orcid.org/0000-0002-7934-8434"},"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":"Jonghyun Choi","raw_affiliation_strings":["Seoul National University"],"affiliations":[{"raw_affiliation_string":"Seoul National University","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100447631","display_name":"Jinho Lee","orcid":"https://orcid.org/0000-0003-3122-9652"},"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":"Jinho Lee","raw_affiliation_strings":["Seoul National University"],"affiliations":[{"raw_affiliation_string":"Seoul National University","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5043170949"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":6.9481,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.9588015,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"39","issue":"15","first_page":"16037","last_page":"16045"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9797999858856201,"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":0.9797999858856201,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9736999869346619,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.954800009727478,"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/transformer","display_name":"Transformer","score":0.6471684575080872},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5487582683563232},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5298193693161011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4719204902648926},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4309000074863434},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.336487352848053},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21394488215446472},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.19910401105880737},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.05453675985336304}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6471684575080872},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5487582683563232},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5298193693161011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4719204902648926},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4309000074863434},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.336487352848053},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21394488215446472},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.19910401105880737},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.05453675985336304}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v39i15.33761","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i15.33761","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/33761/35916","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v39i15.33761","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i15.33761","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/33761/35916","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409347138.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","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":{"Data-free":[0],"quantization":[1],"(DFQ)":[2],"is":[3],"a":[4,8,22,95,156],"technique":[5],"that":[6,51,73,102,148],"creates":[7],"lightweight":[9],"network":[10,131],"from":[11,117],"its":[12],"full-precision":[13,136],"counterpart":[14],"without":[15],"the":[16,46,62,82,125,129,135,149],"original":[17],"training":[18],"data,":[19],"often":[20],"through":[21],"synthetic":[23,53,78,110],"dataset.":[24],"Although":[25],"several":[26],"DFQ":[27,97],"methods":[28],"have":[29],"been":[30],"proposed":[31,150],"for":[32,100,159],"vision":[33],"transformer":[34],"(ViT)":[35],"architectures,":[36],"they":[37],"fail":[38],"to":[39,132],"achieve":[40],"efficacy":[41],"in":[42],"low-bit":[43],"settings.":[44],"Examining":[45],"existing":[47],"methods,":[48],"we":[49,71,92,108,123],"observe":[50],"their":[52],"data":[54,79,111],"produce":[55],"misaligned":[56],"attention":[57,75,105,115,126,142],"maps,":[58],"while":[59],"those":[60,133],"of":[61,77,85,128,134],"real":[63],"samples":[64],"are":[65],"highly":[66],"aligned.":[67],"From":[68],"this":[69,90],"observation,":[70],"find":[72],"aligning":[74,113],"maps":[76,127],"helps":[80],"improve":[81],"overall":[83],"performance":[84],"quantized":[86,130],"ViTs.":[87],"Motivated":[88],"by":[89,112,138],"finding,":[91],"devise":[93],"MimiQ,":[94],"novel":[96],"method":[98,151],"designed":[99],"ViTs":[101],"enhances":[103],"inter-head":[104],"similarity.":[106],"First,":[107],"generate":[109],"head-wise":[114,140],"outputs":[116],"each":[118],"spatial":[119],"query":[120],"patch.":[121],"Then,":[122],"align":[124],"teacher":[137],"applying":[139],"structural":[141],"distillation.":[143],"The":[144],"experimental":[145],"results":[146],"show":[147],"significantly":[152],"outperforms":[153],"baselines,":[154],"setting":[155],"new":[157],"state-of-the-art":[158],"ViT-DFQ.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}
