{"id":"https://openalex.org/W7133341144","doi":"https://doi.org/10.48550/arxiv.2603.00486","title":"Random Wins All: Rethinking Grouping Strategies for Vision Tokens","display_name":"Random Wins All: Rethinking Grouping Strategies for Vision Tokens","publication_year":2026,"publication_date":"2026-02-28","ids":{"openalex":"https://openalex.org/W7133341144","doi":"https://doi.org/10.48550/arxiv.2603.00486"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.00486","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00486","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.2603.00486","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5127975234","display_name":"Qihang Fan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Fan, Qihang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021103579","display_name":"Yuang Ai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ai, Yuang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128009238","display_name":"Huaibo Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Huaibo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5127980811","display_name":"Ran He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Ran","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5127975234"],"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/T10036","display_name":"Advanced Neural Network Applications","score":0.15119999647140503,"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":0.15119999647140503,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.12219999730587006,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.0869000032544136,"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/security-token","display_name":"Security token","score":0.6793000102043152},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5123000144958496},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4251999855041504},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4205999970436096},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.40880000591278076},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.35659998655319214}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7382000088691711},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.6793000102043152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5512999892234802},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5123000144958496},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4251999855041504},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4205999970436096},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.40880000591278076},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.35659998655319214},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3416000008583069},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3093999922275543},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2590999901294708},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.00486","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00486","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.2603.00486","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00486","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Since":[0],"Transformers":[1],"are":[2,199],"introduced":[3],"into":[4,42],"vision":[5,111,201],"architectures,":[6],"their":[7],"quadratic":[8],"complexity":[9],"has":[10],"always":[11],"been":[12,55],"a":[13,43,80,103,155],"significant":[14],"issue":[15],"that":[16,88,123,192],"many":[17],"research":[18],"efforts":[19],"aim":[20],"to":[21,57,134,150,210],"address.":[22],"A":[23],"representative":[24],"approach":[25,116],"involves":[26,102],"grouping":[27,52,74,86,99,108,125,130,142,163,176,188,208],"tokens,":[28],"performing":[29],"self-attention":[30],"calculations":[31],"within":[32,39],"each":[33,40],"group,":[34],"or":[35],"pooling":[36],"the":[37,59,67,97,159,173,221],"tokens":[38,202],"group":[41],"single":[44],"token.":[45],"To":[46],"this":[47,115,151],"end,":[48],"various":[49,215],"carefully":[50,72],"designed":[51,73],"strategies":[53],"have":[54],"proposed":[56,225],"enhance":[58],"performance":[60],"of":[61,158,161,175,223],"Vision":[62],"Transformers.":[63],"Here,":[64],"we":[65,95,153],"pose":[66],"following":[68],"questions:":[69],"\\textbf{Are":[70],"these":[71,91,196],"methods":[75],"truly":[76],"necessary?":[77],"Is":[78],"there":[79],"simpler":[81],"and":[82,105,120,167,186,212,237],"more":[83,145],"unified":[84],"token":[85],"method":[87,227],"can":[89],"replace":[90],"diverse":[92],"methods?}":[93],"Therefore,":[94],"propose":[96],"random":[98,107,124,141,162,226],"strategy,":[100],"which":[101],"simple":[104,207],"fast":[106],"strategy":[109,209],"for":[110,172],"tokens.":[112],"We":[113,190,218],"validate":[114,220],"on":[117],"multiple":[118,165,229],"baselines,":[119],"experiments":[121],"show":[122],"almost":[126],"outperforms":[127],"all":[128],"other":[129],"methods.":[131],"When":[132],"transferred":[133],"downstream":[135],"tasks,":[136,233],"such":[137],"as":[138,193,195],"object":[139],"detection,":[140],"demonstrates":[143],"even":[144],"pronounced":[146],"advantages.":[147],"In":[148],"response":[149],"phenomenon,":[152],"conduct":[154],"detailed":[156],"analysis":[157],"advantages":[160],"from":[164],"perspectives":[166],"identify":[168],"several":[169],"crucial":[170],"elements":[171],"design":[174],"strategies:":[177],"positional":[178],"information,":[179],"head":[180],"feature":[181],"diversity,":[182],"global":[183],"receptive":[184],"field,":[185],"fixed":[187],"pattern.":[189],"demonstrate":[191],"long":[194],"four":[197],"conditions":[198],"met,":[200],"require":[203],"only":[204],"an":[205],"extremely":[206],"efficiently":[211],"effectively":[213],"handle":[214],"visual":[216,232],"tasks.":[217],"also":[219],"effectiveness":[222],"our":[224],"across":[228],"modalities,":[230],"including":[231],"point":[234],"cloud":[235],"processing,":[236],"vision-language":[238],"models.":[239],"Code":[240],"will":[241],"be":[242],"available":[243],"at":[244],"https://github.com/qhfan/random.":[245]},"counts_by_year":[],"updated_date":"2026-03-04T07:09:34.246503","created_date":"2026-03-04T00:00:00"}