{"id":"https://openalex.org/W4410505165","doi":"https://doi.org/10.1007/s41019-025-00286-x","title":"Enhancing Robustness in Long-Tailed Image Classification with Angular Approaches and Balanced Learning","display_name":"Enhancing Robustness in Long-Tailed Image Classification with Angular Approaches and Balanced Learning","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4410505165","doi":"https://doi.org/10.1007/s41019-025-00286-x"},"language":"en","primary_location":{"id":"doi:10.1007/s41019-025-00286-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-025-00286-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-025-00286-x.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s41019-025-00286-x.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Din Muhammad","orcid":"https://orcid.org/0009-0009-2865-7876"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Din Muhammad","raw_affiliation_strings":["University of Wollongong, Wollongong, Australia"],"raw_orcid":"https://orcid.org/0009-0009-2865-7876","affiliations":[{"raw_affiliation_string":"University of Wollongong, Wollongong, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435848","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-0961-0441"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["University of Wollongong, Wollongong, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wollongong, Wollongong, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069570795","display_name":"Markus Hagenbuchner","orcid":"https://orcid.org/0000-0002-4884-753X"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Markus Hagenbuchner","raw_affiliation_strings":["University of Wollongong, Wollongong, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wollongong, Wollongong, Australia","institution_ids":["https://openalex.org/I204824540"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204824540"],"apc_list":{"value":1290,"currency":"USD","value_usd":1290},"apc_paid":{"value":1290,"currency":"USD","value_usd":1290},"fwci":2.5289,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.89860653,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"10","issue":"3","first_page":"480","last_page":"494"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991999864578247,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991999864578247,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9987999796867371,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.8013518452644348},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.775268018245697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5527334809303284},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4631006419658661},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43328607082366943},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4153772294521332},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3789035975933075},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3755989074707031},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0810694694519043}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8013518452644348},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.775268018245697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5527334809303284},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4631006419658661},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43328607082366943},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4153772294521332},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3789035975933075},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3755989074707031},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0810694694519043},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41019-025-00286-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-025-00286-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-025-00286-x.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:902f0e5adbcc45bf9ffe1531b9833432","is_oa":true,"landing_page_url":"https://doaj.org/article/902f0e5adbcc45bf9ffe1531b9833432","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Science and Engineering, Vol 10, Iss 3, Pp 480-494 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41019-025-00286-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-025-00286-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-025-00286-x.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320969","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410505165.pdf","grobid_xml":"https://content.openalex.org/works/W4410505165.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1568060748","https://openalex.org/W1981276685","https://openalex.org/W2030214786","https://openalex.org/W2087240369","https://openalex.org/W2118978333","https://openalex.org/W2148143831","https://openalex.org/W2165698076","https://openalex.org/W2167464971","https://openalex.org/W2194775991","https://openalex.org/W2217007515","https://openalex.org/W2440599146","https://openalex.org/W2612634114","https://openalex.org/W2781292787","https://openalex.org/W2798381792","https://openalex.org/W2884805522","https://openalex.org/W2887280559","https://openalex.org/W2954996726","https://openalex.org/W2962895364","https://openalex.org/W2962933664","https://openalex.org/W2963351448","https://openalex.org/W2963691377","https://openalex.org/W2981515171","https://openalex.org/W3021503072","https://openalex.org/W3034369739","https://openalex.org/W3034601242","https://openalex.org/W3034711780","https://openalex.org/W3096688134","https://openalex.org/W3112818024","https://openalex.org/W3134261669","https://openalex.org/W3157699413","https://openalex.org/W3175613352","https://openalex.org/W3190520168","https://openalex.org/W4312920106","https://openalex.org/W4313180564","https://openalex.org/W4366352743","https://openalex.org/W4385695948","https://openalex.org/W4387770252","https://openalex.org/W4389306647","https://openalex.org/W4402727605","https://openalex.org/W4402916296","https://openalex.org/W6600120041","https://openalex.org/W6600783213","https://openalex.org/W6610385870","https://openalex.org/W6629234728"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W2488129135","https://openalex.org/W4312219546","https://openalex.org/W2377538627","https://openalex.org/W2107220315","https://openalex.org/W2546503577"],"abstract_inverted_index":{"Abstract":[0],"When":[1],"the":[2,28,35,38,41,47,91,107,116,147,169,221],"data":[3,174],"distribution":[4],"in":[5,40,70],"a":[6,78,156,200],"dataset":[7],"is":[8,185],"highly":[9],"imbalanced":[10],"or":[11],"long-tailed,":[12],"this":[13,195],"can":[14,103,205],"lead":[15],"to":[16,63,133,167],"biased":[17,105],"deep":[18,176],"network":[19],"models":[20,178],"that":[21,160,198,220],"are":[22,44,66],"ineffective":[23],"at":[24],"handling":[25],"samples":[26,39,89,97],"from":[27,60,90,98],"tail":[29,64],"classes.":[30,100],"The":[31,182],"issue":[32],"arises":[33],"because":[34],"features":[36],"of":[37,56,118,149,151,172],"head":[42,61,108],"classes":[43,62,65,109],"dominant":[45],"during":[46,121],"learning":[48,52,177],"process.":[49],"Supervised":[50,187],"contrastive":[51],"(SCL)":[53],"and":[54,138,145,164],"transfer":[55],"angular":[57,165],"information":[58],"(TAI)":[59],"two":[67],"methods":[68],"proposed":[69,183,222],"recent":[71],"literature.":[72],"It":[73],"was":[74],"shown":[75],"that,":[76],"for":[77,179],"well-balanced":[79],"dataset,":[80],"SCL":[81,102,163],"effectively":[82],"improves":[83],"class":[84,93,119,216],"separation":[85],"by":[86,127],"pulling":[87],"together":[88],"same":[92],"while":[94],"pushing":[95],"away":[96],"different":[99,215],"However,":[101],"remain":[104],"towards":[106],"since":[110],"it":[111],"does":[112],"not":[113],"directly":[114],"address":[115,142],"effects":[117,171],"imbalance":[120,217],"learning.":[122],"TAI":[123],"addresses":[124],"challenges":[125],"posed":[126],"long-tailed":[128,173,212],"image":[129,180],"classification":[130],"but":[131],"fails":[132],"achieve":[134],"both":[135,150],"intra-class":[136],"compactness":[137],"inter-class":[139],"separability.":[140],"To":[141],"these":[143,152],"limitations":[144],"exploit":[146],"strengths":[148],"approaches,":[153],"we":[154],"propose":[155],"unique":[157],"hybrid":[158],"method":[159,184,223],"seamlessly":[161],"integrates":[162],"variance":[166],"mitigate":[168],"adverse":[170],"on":[175,211],"classification.":[181],"named":[186],"Angular":[188],"Contrastive":[189],"Loss":[190],"with":[191,214],"Balancing":[192],"Classifier.":[193],"Moreover,":[194],"paper":[196],"finds":[197],"adding":[199],"suitably":[201],"designed":[202],"balancing":[203],"technique":[204],"enhance":[206],"results":[207],"even":[208],"further.":[209],"Experiments":[210],"datasets":[213],"ratios":[218],"demonstrate":[219],"significantly":[224],"outperforms":[225],"all":[226],"existing":[227],"baseline":[228],"approaches.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
