{"id":"https://openalex.org/W7154415648","doi":"https://doi.org/10.1109/tip.2026.3682122","title":"Parameter-Efficient Tuning for Fine-Grained Recognition via Channel-Wise Importance Equalization and Diversity Navigation","display_name":"Parameter-Efficient Tuning for Fine-Grained Recognition via Channel-Wise Importance Equalization and Diversity Navigation","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7154415648","doi":"https://doi.org/10.1109/tip.2026.3682122","pmid":"https://pubmed.ncbi.nlm.nih.gov/41979966"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2026.3682122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3682122","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5113402664","display_name":"Hanwen Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanwen Zhong","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems and the School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-9067-071X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems and the School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100360543","display_name":"Jiaxin Chen","orcid":"https://orcid.org/0000-0002-0112-4166"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxin Chen","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems and the School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0112-4166","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems and the School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100766532","display_name":"Yutong Zhang","orcid":"https://orcid.org/0000-0003-4496-2896"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutong Zhang","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems and the School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems and the School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Di Huang","orcid":"https://orcid.org/0000-0002-2412-9330"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Huang","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2412-9330","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100398953","display_name":"Yunhong Wang","orcid":"https://orcid.org/0000-0001-8001-2703"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhong Wang","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems and the School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8001-2703","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems and the School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46740062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"4629","last_page":"4642"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.30300000309944153,"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"}},"topics":[{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.30300000309944153,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.06539999693632126,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.06469999998807907,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.5781000256538391},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.37869998812675476},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3700999915599823},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.34290000796318054},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.3409000039100647},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.31150001287460327},{"id":"https://openalex.org/keywords/filtering-theory","display_name":"Filtering theory","score":0.302700012922287}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7001000046730042},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.5781000256538391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5522000193595886},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48730000853538513},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.37869998812675476},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3700999915599823},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.34290000796318054},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.3409000039100647},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.31150001287460327},{"id":"https://openalex.org/C2988922011","wikidata":"https://www.wikidata.org/wiki/Q5449244","display_name":"Filtering theory","level":2,"score":0.302700012922287},{"id":"https://openalex.org/C97812054","wikidata":"https://www.wikidata.org/wiki/Q2166055","display_name":"Intersymbol interference","level":3,"score":0.2937000095844269},{"id":"https://openalex.org/C50151734","wikidata":"https://www.wikidata.org/wiki/Q1759577","display_name":"Matched filter","level":3,"score":0.26179999113082886},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.2612000107765198},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.26030001044273376},{"id":"https://openalex.org/C136817519","wikidata":"https://www.wikidata.org/wiki/Q947493","display_name":"Diversity combining","level":4,"score":0.26030001044273376},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25519999861717224},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.25200000405311584}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2026.3682122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3682122","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:41979966","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41979966","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5333421230316162,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G274299666","display_name":null,"funder_award_id":"L259044","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G5000973646","display_name":null,"funder_award_id":"62202034","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5048885466","display_name":null,"funder_award_id":"62022011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6201026135","display_name":null,"funder_award_id":"4242044","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G8761611190","display_name":null,"funder_award_id":"62176012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334977","display_name":"Beijing Municipal Natural Science Foundation","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Parameter-efficient":[0],"tuning":[1,59],"(PET)":[2],"has":[3],"achieved":[4],"promising":[5],"performance":[6,182],"on":[7,125,164,170],"various":[8,151],"downstream":[9,46],"vision":[10],"tasks.":[11,49,193],"Despite":[12],"their":[13],"effectiveness":[14],"for":[15,40,62,114,158],"general":[16,191],"classification,":[17],"existing":[18,184],"PET":[19,185],"approaches":[20],"neglect":[21],"the":[22,28,45,78,84,92,134,142,176,181],"over-concentration":[23],"of":[24,31,183],"channel-wise":[25],"saliency":[26],"and":[27,122,187],"feature":[29],"redundancy":[30,135],"pre-trained":[32,100],"models":[33,101,143,173],"during":[34,88],"fine-tuning,":[35,89],"thus":[36,95,140],"leaving":[37],"much":[38],"room":[39],"improvement":[41],"when":[42],"applied":[43],"to":[44,102,144,190],"fine-grained":[47,63,159,167],"recognition":[48,64],"To":[50],"address":[51],"these":[52],"issues,":[53],"we":[54],"propose":[55],"a":[56,70,119],"novel":[57],"parameter-efficient":[58],"approach":[60],"tailored":[61],"(FG-PET).":[65],"Specifically,":[66],"FG-PET":[67,109],"first":[68],"employs":[69],"Channel-wise":[71],"Importance":[72],"Equalization":[73],"(CIE)":[74],"module.":[75],"It":[76,132],"suppresses":[77],"concentrated":[79],"salient":[80],"channels":[81,98],"while":[82],"strengthening":[83],"remaining":[85],"majority":[86],"ones":[87],"notably":[90],"mitigating":[91],"over-concentrated":[93],"saliency,":[94],"evoking":[96],"more":[97],"within":[99],"deliver":[103],"abundant":[104],"local":[105,153],"visual":[106,148],"clues.":[107],"Furthermore,":[108],"develops":[110],"an":[111],"Efficient":[112],"Navigator":[113],"Diversity":[115],"(EFIND)":[116],"by":[117],"introducing":[118],"center-based":[120],"loss":[121],"orthogonal":[123],"constraints":[124],"features":[126],"generated":[127],"from":[128],"distinct":[129,171],"attention":[130,138],"heads.":[131],"alleviates":[133],"between":[136],"different":[137],"maps,":[139],"enforcing":[141],"explore":[145],"diverse":[146],"subtle":[147],"differences":[149],"in":[150],"discriminative":[152],"regions,":[154],"which":[155],"are":[156],"critical":[157],"recognition.":[160],"Extensive":[161],"experimental":[162],"results":[163],"five":[165],"public":[166],"benchmarks":[168],"based":[169],"ViT":[172],"demonstrate":[174],"that":[175],"proposed":[177],"method":[178],"remarkably":[179],"boosts":[180],"approaches,":[186],"generalizes":[188],"well":[189],"classification":[192],"The":[194],"source":[195],"code":[196],"is":[197],"available":[198],"at":[199],"FG-PET.":[200]},"counts_by_year":[],"updated_date":"2026-07-20T07:56:41.581041","created_date":"2026-04-15T00:00:00"}