{"id":"https://openalex.org/W7137980830","doi":"https://doi.org/10.1609/aaai.v40i28.39581","title":"Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models","display_name":"Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7137980830","doi":"https://doi.org/10.1609/aaai.v40i28.39581"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i28.39581","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i28.39581","pdf_url":null,"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://doi.org/10.1609/aaai.v40i28.39581","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129704324","display_name":"Jiahuan Long","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiahuan Long","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiaotong University\nDefense Innovation Institute, Chinese Academy of Military Science"],"affiliations":[{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiaotong University\nDefense Innovation Institute, Chinese Academy of Military Science","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129728554","display_name":"Tingsong Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tingsong Jiang","raw_affiliation_strings":["Defense Innovation Institute, Chinese Academy of Military Science"],"affiliations":[{"raw_affiliation_string":"Defense Innovation Institute, Chinese Academy of Military Science","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129664438","display_name":"Wen Yao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen Yao","raw_affiliation_strings":["Defense Innovation Institute, Chinese Academy of Military Science"],"affiliations":[{"raw_affiliation_string":"Defense Innovation Institute, Chinese Academy of Military Science","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129734190","display_name":"Yizhe Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhe Xiong","raw_affiliation_strings":["School of Software, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129672086","display_name":"Zhengqin Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengqin Xu","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiaotong University"],"affiliations":[{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiaotong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121583144","display_name":"Shuai Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Jia","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiaotong University"],"affiliations":[{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiaotong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129693314","display_name":"Hanqing Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanqing Liu","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiaotong University\nDefense Innovation Institute, Chinese Academy of Military Science"],"affiliations":[{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiaotong University\nDefense Innovation Institute, Chinese Academy of Military Science","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129686942","display_name":"Chao Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Ma","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiaotong University"],"affiliations":[{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiaotong University","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5129704324"],"corresponding_institution_ids":["https://openalex.org/I4210100255"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24776119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"28","first_page":"24035","last_page":"24043"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.25760000944137573,"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":0.25760000944137573,"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":0.22859999537467957,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.15160000324249268,"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/redundancy","display_name":"Redundancy (engineering)","score":0.6898000240325928},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.6363999843597412},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4828999936580658},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.397599995136261},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.39730000495910645},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3968999981880188},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.38510000705718994}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7714999914169312},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6898000240325928},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.6363999843597412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5558000206947327},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4828999936580658},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45239999890327454},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.397599995136261},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.39730000495910645},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3968999981880188},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.38510000705718994},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.329800009727478},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3249000012874603},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.3183000087738037},{"id":"https://openalex.org/C2776207758","wikidata":"https://www.wikidata.org/wiki/Q5303302","display_name":"Downstream (manufacturing)","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2867000102996826},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C88626702","wikidata":"https://www.wikidata.org/wiki/Q1128903","display_name":"Continuation","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i28.39581","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i28.39581","pdf_url":null,"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.v40i28.39581","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i28.39581","pdf_url":null,"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Vision":[0],"foundation":[1,81],"models":[2,16],"(VFMs)":[3],"have":[4],"demonstrated":[5],"remarkable":[6],"capabilities":[7],"in":[8,45,147],"learning":[9],"universal":[10],"visual":[11],"representations.":[12],"However,":[13],"adapting":[14],"these":[15],"to":[17,34,96,123],"downstream":[18,124],"tasks":[19,150],"conventionally":[20],"requires":[21],"parameter":[22],"updates,":[23],"with":[24,108,165],"even":[25],"parameter-efficient":[26],"fine-tuning":[27,57,61,80,167],"methods":[28,62],"necessitating":[29],"the":[30,43,46,92,105,128,140,174],"modification":[31],"of":[32,36,144,176],"thousands":[33],"millions":[35],"weights.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41,84,112],"investigate":[42],"redundancies":[44],"segment":[47],"anything":[48],"model":[49,187],"(SAM)":[50],"and":[51,71,99,118,136,142,156],"then":[52],"propose":[53],"a":[54,76,86],"novel":[55],"parameter-free":[56],"method.":[58],"Unlike":[59],"traditional":[60],"that":[63],"adjust":[64],"parameters,":[65],"our":[66,145,160,182,189],"method":[67,146,190],"emphasizes":[68],"selecting,":[69],"reusing,":[70],"enhancing":[72,127],"pre-trained":[73],"features,":[74],"offering":[75],"new":[77],"perspective":[78],"on":[79,91,133],"models.":[82,179],"Specifically,":[83],"introduce":[85],"channel":[87,183],"selection":[88,184],"algorithm":[89],"based":[90],"model's":[93],"output":[94],"difference":[95],"identify":[97],"redundant":[98,106],"effective":[100,110],"channels.":[101],"By":[102],"selectively":[103],"replacing":[104],"channels":[107],"more":[109,120],"ones,":[111],"filter":[113],"out":[114],"less":[115],"useful":[116],"features":[117,122],"reuse":[119],"task-irrelevant":[121],"tasks,":[125],"thereby":[126],"task-specific":[129],"feature":[130],"representation.":[131],"Experiments":[132],"both":[134],"out-of-domain":[135],"in-domain":[137],"datasets":[138],"demonstrate":[139],"efficiency":[141],"effectiveness":[143],"different":[148],"vision":[149],"(e.g.,":[151,169],"image":[152,157],"segmentation,":[153],"depth":[154],"estimation":[155],"classification).":[158],"Notably,":[159],"approach":[161],"can":[162],"seamlessly":[163],"integrate":[164],"existing":[166],"strategies":[168],"LoRA,":[170],"Adapter),":[171],"further":[172],"boosting":[173],"performance":[175],"already":[177],"fine-tuned":[178],"Moreover,":[180],"since":[181],"involves":[185],"only":[186],"inference,":[188],"significantly":[191],"reduces":[192],"GPU":[193],"memory":[194],"overhead.":[195]},"counts_by_year":[],"updated_date":"2026-03-20T20:47:17.329874","created_date":"2026-03-18T00:00:00"}