{"id":"https://openalex.org/W7161542559","doi":"https://doi.org/10.48550/arxiv.2605.15689","title":"How to Choose Your Teacher for Fine Grained Image Recognition","display_name":"How to Choose Your Teacher for Fine Grained Image Recognition","publication_year":2026,"publication_date":"2026-05-15","ids":{"openalex":"https://openalex.org/W7161542559","doi":"https://doi.org/10.48550/arxiv.2605.15689"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.15689","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15689","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.2605.15689","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119983012","display_name":"Oswin Gosal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gosal, Oswin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087804607","display_name":"Edwin Arkel Rios","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rios, Edwin Arkel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136420963","display_name":"Augusto Christian Surya","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Surya, Augusto Christian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119983011","display_name":"Fernando Mikael","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mikael, Fernando","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136370344","display_name":"Bo-Cheng Lai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lai, Bo-Cheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136374682","display_name":"Min-Chun Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Min-Chun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"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":0.9236000180244446,"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":0.9236000180244446,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.010499999858438969,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.0071000000461936,"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/selection","display_name":"Selection (genetic algorithm)","score":0.6122000217437744},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5842999815940857},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5771999955177307},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5486999750137329},{"id":"https://openalex.org/keywords/codebase","display_name":"Codebase","score":0.5263000130653381},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4578000009059906},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.3610999882221222}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7046999931335449},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6122000217437744},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5842999815940857},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5771999955177307},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5486999750137329},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.536300003528595},{"id":"https://openalex.org/C51929080","wikidata":"https://www.wikidata.org/wiki/Q2425187","display_name":"Codebase","level":3,"score":0.5263000130653381},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48080000281333923},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4578000009059906},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.3610999882221222},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.35370001196861267},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3273000121116638},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.29980000853538513},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2906999886035919},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.2700999975204468}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.15689","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15689","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.2605.15689","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15689","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":0.7394694685935974,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Fine-grained":[0],"image":[1],"recognition":[2],"classifies":[3],"subcategories":[4],"such":[5],"as":[6,53],"bird":[7],"species":[8],"or":[9],"car":[10],"models.":[11],"While":[12],"state-of-the-art":[13],"(SOTA)":[14],"models":[15,107],"are":[16,19],"accurate,":[17],"they":[18],"often":[20],"too":[21],"resource-intensive":[22],"for":[23],"deployment":[24],"on":[25,69],"constrained":[26],"devices.":[27],"Knowledge":[28],"distillation":[29],"addresses":[30],"this":[31],"by":[32,99],"transferring":[33],"knowledge":[34],"from":[35],"a":[36,41,62],"large":[37],"teacher":[38,63,70,97],"model":[39],"to":[40,108,111],"smaller":[42],"student":[43,57,106],"model.":[44],"A":[45],"key":[46],"challenge":[47],"is":[48,117],"selecting":[49],"the":[50],"right":[51],"teacher,":[52],"it":[54],"heavily":[55],"impacts":[56],"performance.":[58],"This":[59],"paper":[60],"introduces":[61],"selection":[64,98],"metric,":[65],"\\textbf{Ratio":[66],"1-2},":[67],"based":[68],"prediction":[71],"ratios.":[72],"Extensive":[73],"analysis":[74],"of":[75],"over":[76,101],"one":[77],"thousand":[78],"experiments":[79],"across":[80],"3":[81],"students,":[82],"8":[83,86],"teachers,":[84],"and":[85],"datasets":[87],"under":[88],"4":[89],"training":[90],"strategies":[91],"demonstrates":[92],"that":[93],"our":[94],"metric":[95],"improves":[96],"18\\%":[100],"previous":[102],"methods,":[103],"enabling":[104],"small":[105],"achieve":[109],"up":[110],"17\\%":[112],"accuracy":[113],"gains.":[114],"Experiment":[115],"codebase":[116],"available":[118],"at:":[119],"\\href{https://github.com/arkel23/FGIR-KD-Teacher}{https://github.com/arkel23/FGIR-KD-Teacher}.":[120]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-19T00:00:00"}
