{"id":"https://openalex.org/W7140196999","doi":"https://doi.org/10.48550/arxiv.2603.21708","title":"Compensating Visual Insufficiency with Stratified Language Guidance for Long-Tail Class Incremental Learning","display_name":"Compensating Visual Insufficiency with Stratified Language Guidance for Long-Tail Class Incremental Learning","publication_year":2026,"publication_date":"2026-03-23","ids":{"openalex":"https://openalex.org/W7140196999","doi":"https://doi.org/10.48550/arxiv.2603.21708"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.21708","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21708","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.21708","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Wang, Xi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Yang, Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Sun, Donghao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Donghao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Deng, Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deng, Cheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9559000134468079,"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":0.9559000134468079,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.02160000056028366,"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/T11448","display_name":"Face recognition and analysis","score":0.0024999999441206455,"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/exploit","display_name":"Exploit","score":0.7748000025749207},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.5546000003814697},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.542900025844574},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.48559999465942383},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.430400013923645},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.414000004529953},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.38530001044273376},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3605000078678131}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7760999798774719},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7748000025749207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5760999917984009},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.5546000003814697},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.542900025844574},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.48559999465942383},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44769999384880066},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.430400013923645},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.414000004529953},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.38530001044273376},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37049999833106995},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3605000078678131},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.3140000104904175},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.30880001187324524},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.3077000081539154},{"id":"https://openalex.org/C2983448237","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Language understanding","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C74672266","wikidata":"https://www.wikidata.org/wiki/Q815859","display_name":"Language acquisition","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.27390000224113464},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25279998779296875},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.21708","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21708","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.21708","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21708","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":"Preprint"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7552386522293091,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Long-tail":[0],"class":[1],"incremental":[2],"learning":[3,21],"(LT":[4],"CIL)":[5],"remains":[6],"highly":[7],"challenging":[8],"because":[9],"the":[10,40,50,107,121,125,152],"scarcity":[11],"of":[12,44,109,124,151],"samples":[13],"in":[14,61],"tail":[15,103],"classes":[16,104],"not":[17],"only":[18],"hampers":[19],"their":[20],"but":[22],"also":[23],"exacerbates":[24],"catastrophic":[25,138],"forgetting":[26],"under":[27],"continuously":[28],"evolving":[29],"and":[30,42,105,131],"imbalanced":[31],"data":[32,53,110],"distributions.":[33],"To":[34],"tackle":[35],"these":[36],"issues,":[37],"we":[38,48,82,113],"exploit":[39],"informativeness":[41],"scalability":[43],"language":[45,58,65,86,117,126],"knowledge.":[46],"Specifically,":[47],"analyze":[49],"LT":[51],"CIL":[52],"distribution":[54],"to":[55,74,92,128],"guide":[56],"large":[57],"models":[59],"(LLMs)":[60],"generating":[62],"a":[63],"stratified":[64,84,115],"tree":[66,127],"that":[67,146],"hierarchically":[68],"organizes":[69],"semantic":[70,95,133],"information":[71],"from":[72],"coarse":[73],"fine":[75],"grained":[76],"granularity.":[77],"Building":[78],"upon":[79],"this":[80],"structure,":[81],"introduce":[83,114],"adaptive":[85],"guidance,":[87,118],"which":[88,119],"leverages":[89],"learnable":[90],"weights":[91],"merge":[93],"multi-scale":[94],"representations,":[96],"thereby":[97,136],"enabling":[98],"dynamic":[99],"supervisory":[100],"adjustment":[101],"for":[102],"alleviating":[106,137],"impact":[108],"imbalance.":[111],"Furthermore,":[112],"alignment":[116],"exploits":[120],"structural":[122],"stability":[123],"constrain":[129],"optimization":[130],"reinforce":[132],"visual":[134],"alignment,":[135],"forgetting.":[139],"Extensive":[140],"experiments":[141],"on":[142],"multiple":[143],"benchmarks":[144],"demonstrate":[145],"our":[147],"method":[148],"achieves":[149],"state":[150],"art":[153],"performance.":[154]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-25T00:00:00"}
