{"id":"https://openalex.org/W7119189776","doi":"https://doi.org/10.48550/arxiv.2601.00222","title":"LooC: Effective Low-Dimensional Codebook for Compositional Vector Quantization","display_name":"LooC: Effective Low-Dimensional Codebook for Compositional Vector Quantization","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7119189776","doi":"https://doi.org/10.48550/arxiv.2601.00222"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2601.00222","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.00222","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2601.00222","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5122080773","display_name":"Jie Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li, Jie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122176254","display_name":"Kwan-Yee K. Wong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wong, Kwan-Yee K.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5122157745","display_name":"Kai Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Kai","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5122080773"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9117000102996826,"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":0.9117000102996826,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.011500000022351742,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.009100000374019146,"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/codebook","display_name":"Codebook","score":0.9869999885559082},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.7764000296592712},{"id":"https://openalex.org/keywords/linde\u2013buzo\u2013gray-algorithm","display_name":"Linde\u2013Buzo\u2013Gray algorithm","score":0.7745000123977661},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6118000149726868},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5340999960899353},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5116000175476074},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.49390000104904175}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.9869999885559082},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.7764000296592712},{"id":"https://openalex.org/C93372532","wikidata":"https://www.wikidata.org/wiki/Q6552455","display_name":"Linde\u2013Buzo\u2013Gray algorithm","level":3,"score":0.7745000123977661},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6118000149726868},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5340999960899353},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5116000175476074},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.49390000104904175},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4896000027656555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4674000144004822},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4481000006198883},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.43950000405311584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43540000915527344},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.40149998664855957},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.36309999227523804},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.2671000063419342},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2612000107765198}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2601.00222","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.00222","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2601.00222","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.00222","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"score":0.45454785227775574,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Vector":[0],"quantization":[1],"(VQ)":[2],"is":[3,33],"a":[4,18,53,71,111,121,171,204],"prevalent":[5],"and":[6,23,27,80,106,127,141,191],"fundamental":[7],"technique":[8],"that":[9,194],"discretizes":[10],"continuous":[11],"feature":[12,81,94,104,144],"vectors":[13,105],"by":[14,51,74],"approximating":[15],"them":[16,98],"using":[17],"codebook.":[19,207],"As":[20],"the":[21,76,131,157,162],"diversity":[22],"complexity":[24],"of":[25,89,139,148,164],"data":[26],"models":[28],"continue":[29],"to":[30,47,125,151],"increase,":[31],"there":[32],"an":[34,60],"urgent":[35],"need":[36],"for":[37,64,136,174,177],"high-capacity,":[38],"yet":[39],"more":[40,112],"compact":[41,113,158],"VQ":[42,132,198],"methods.":[43],"This":[44],"paper":[45],"aims":[46],"reconcile":[48],"this":[49],"conflict":[50],"presenting":[52],"new":[54],"approach":[55],"called":[56],"LooC,":[57],"which":[58,134],"utilizes":[59],"effective":[61],"Low-dimensional":[62],"codebook":[63,73,114,153,159],"Compositional":[65],"vector":[66],"quantization.":[67],"Firstly,":[68],"LooC":[69,96,119,149,167,195],"introduces":[70],"parameter-efficient":[72],"reframing":[75],"relationship":[77],"between":[78],"codevectors":[79,92],"vectors,":[82,95],"significantly":[83,205],"expanding":[84],"its":[85],"solution":[86],"space.":[87],"Instead":[88],"individually":[90],"matching":[91],"with":[93,115,203],"treats":[97],"as":[99,170],"lower-dimensional":[100],"compositional":[101],"units":[102],"within":[103],"combines":[107],"them,":[108],"resulting":[109],"in":[110,143],"improved":[116],"performance.":[117],"Secondly,":[118],"incorporates":[120],"parameter-free":[122],"extrapolation-by-interpolation":[123],"mechanism":[124],"enhance":[126],"smooth":[128],"features":[129],"during":[130],"process,":[133],"allows":[135],"better":[137],"preservation":[138],"details":[140],"fidelity":[142],"approximation.":[145],"The":[146],"design":[147],"leads":[150],"full":[152],"usage,":[154],"effectively":[155],"utilizing":[156],"while":[160],"avoiding":[161],"problem":[163],"collapse.":[165],"Thirdly,":[166],"can":[168],"serve":[169],"plug-and-play":[172],"module":[173],"existing":[175,197],"methods":[176],"different":[178,188],"downstream":[179],"tasks":[180],"based":[181],"on":[182,187],"VQ.":[183],"Finally,":[184],"extensive":[185],"evaluations":[186],"tasks,":[189],"datasets,":[190],"architectures":[192],"demonstrate":[193],"outperforms":[196],"methods,":[199],"achieving":[200],"state-of-the-art":[201],"performance":[202],"smaller":[206]},"counts_by_year":[],"updated_date":"2026-01-08T20:10:11.968330","created_date":"2026-01-08T00:00:00"}