{"id":"https://openalex.org/W7147172549","doi":"https://doi.org/10.48550/arxiv.2603.29133","title":"Dual-Imbalance Continual Learning for Real-World Food Recognition","display_name":"Dual-Imbalance Continual Learning for Real-World Food Recognition","publication_year":2026,"publication_date":"2026-03-31","ids":{"openalex":"https://openalex.org/W7147172549","doi":"https://doi.org/10.48550/arxiv.2603.29133"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.29133","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29133","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2603.29133","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132667182","display_name":"Xiaoyan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xiaoyan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5063620170","display_name":"Jiangpeng He","orcid":"https://orcid.org/0000-0002-8552-9880"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Jiangpeng","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/T10866","display_name":"Nutritional Studies and Diet","score":0.9679999947547913,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.9679999947547913,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.003700000001117587,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.0020000000949949026,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4659999907016754},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4553999900817871},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4244999885559082},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.41769999265670776},{"id":"https://openalex.org/keywords/adapter","display_name":"Adapter (computing)","score":0.39719998836517334},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.39570000767707825},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3427000045776367}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6430000066757202},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5557000041007996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5436000227928162},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4659999907016754},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4553999900817871},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4244999885559082},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.41769999265670776},{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.39719998836517334},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.39570000767707825},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3427000045776367},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.30970001220703125},{"id":"https://openalex.org/C549605437","wikidata":"https://www.wikidata.org/wiki/Q1229911","display_name":"Food security","level":3,"score":0.29280000925064087},{"id":"https://openalex.org/C88199923","wikidata":"https://www.wikidata.org/wiki/Q627371","display_name":"Food processing","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C74893574","wikidata":"https://www.wikidata.org/wiki/Q5465532","display_name":"Food systems","level":4,"score":0.28060001134872437},{"id":"https://openalex.org/C2781404680","wikidata":"https://www.wikidata.org/wiki/Q1806341","display_name":"Novel food","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C3018790387","wikidata":"https://www.wikidata.org/wiki/Q869010","display_name":"Hybrid learning","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.2549000084400177}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.29133","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29133","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2603.29133","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29133","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.6652828454971313}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Visual":[0],"food":[1,18,34,67,97,107,114,136,198],"recognition":[2,35,98],"in":[3,28,39,72],"real-world":[4],"dietary":[5],"logging":[6],"scenarios":[7],"naturally":[8],"exhibits":[9,99],"severe":[10],"data":[11],"imbalance,":[12],"where":[13,44,75],"a":[14,40,62,94,100,129,153,181],"small":[15],"number":[16,64,77],"of":[17,65,78,112],"categories":[19,46,81],"appear":[20],"frequently":[21],"while":[22,173],"many":[23],"others":[24],"occur":[25],"rarely,":[26],"resulting":[27,178],"long-tailed":[29,197],"class":[30,108],"distributions.":[31],"In":[32,123],"practice,":[33],"systems":[36],"often":[37],"operate":[38],"continual":[41,96,135,219],"learning":[42,91,121,220],"setting,":[43],"new":[45,66,113],"are":[47],"introduced":[48],"sequentially":[49],"over":[50,215],"time.":[51],"However,":[52],"existing":[53,218],"studies":[54],"typically":[55],"assume":[56],"that":[57,205],"each":[58,106,119,143],"incremental":[59,120],"step":[60],"introduces":[61],"similar":[63],"classes,":[68],"which":[69],"rarely":[70],"happens":[71],"real":[73],"world":[74],"the":[76,166,206,216],"newly":[79],"observed":[80],"can":[82],"vary":[83],"significantly":[84],"across":[85],"steps,":[86],"leading":[87],"to":[88,116],"highly":[89],"uneven":[90],"dynamics.":[92],"As":[93],"result,":[95],"dual":[101],"imbalance:":[102],"imbalanced":[103,110],"samples":[104],"within":[105],"and":[109,148],"numbers":[111],"classes":[115],"learn":[117],"at":[118,225],"step.":[122],"this":[124],"work,":[125],"we":[126],"introduce":[127],"DIME,":[128],"Dual-Imbalance-aware":[130],"Adapter":[131],"Merging":[132],"framework":[133],"for":[134,142,185],"recognition.":[137],"DIME":[138],"learns":[139],"lightweight":[140],"adapters":[141],"task":[144],"using":[145],"parameter-efficient":[146],"fine-tuning":[147],"progressively":[149],"integrates":[150],"them":[151],"through":[152],"class-count":[154],"guided":[155],"spectral":[156],"merging":[157,167],"strategy.":[158],"A":[159],"rank-wise":[160],"threshold":[161],"modulation":[162],"mechanism":[163],"further":[164],"stabilizes":[165],"process":[168],"by":[169,211],"preserving":[170],"dominant":[171],"knowledge":[172],"allowing":[174],"adaptive":[175],"updates.":[176],"The":[177],"model":[179],"maintains":[180],"single":[182],"merged":[183],"adapter":[184],"inference,":[186],"enabling":[187],"efficient":[188],"deployment":[189],"without":[190],"accumulating":[191],"task-specific":[192],"modules.":[193],"Experiments":[194],"on":[195],"realistic":[196],"benchmarks":[199],"under":[200],"our":[201],"step-imbalanced":[202],"setup":[203],"show":[204],"proposed":[207],"method":[208],"consistently":[209],"improves":[210],"more":[212],"than":[213],"3%":[214],"strongest":[217],"baselines.":[221],"Code":[222],"is":[223],"available":[224],"https://github.com/xiaoyanzhang1/DIME.":[226]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-02T00:00:00"}