{"id":"https://openalex.org/W7123662796","doi":"https://doi.org/10.1109/mmsp64401.2025.11324288","title":"OrthCal: Synergizing Orthogonal Contrastive Learning and Prototype Calibration for Few-Shot Class-Incremental Learning","display_name":"OrthCal: Synergizing Orthogonal Contrastive Learning and Prototype Calibration for Few-Shot Class-Incremental Learning","publication_year":2025,"publication_date":"2025-09-21","ids":{"openalex":"https://openalex.org/W7123662796","doi":"https://doi.org/10.1109/mmsp64401.2025.11324288"},"language":null,"primary_location":{"id":"doi:10.1109/mmsp64401.2025.11324288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp64401.2025.11324288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5122960348","display_name":"Ruisong Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruisong Dai","raw_affiliation_strings":["University of Electronic Science and Technology of China(UESTC),Chengdu,China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China(UESTC),Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100332172","display_name":"Hanwen Zhang","orcid":"https://orcid.org/0000-0001-7568-5647"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanwen Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China(UESTC),Chengdu,China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China(UESTC),Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122954221","display_name":"Xinyu Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Chen","raw_affiliation_strings":["University of Electronic Science and Technology of China(UESTC),Chengdu,China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China(UESTC),Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122969957","display_name":"Chenghao Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenghao Qi","raw_affiliation_strings":["University of Electronic Science and Technology of China(UESTC),Chengdu,China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China(UESTC),Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066434602","display_name":"Heqian Qiu","orcid":"https://orcid.org/0000-0002-0963-0311"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heqian Qiu","raw_affiliation_strings":["University of Electronic Science and Technology of China(UESTC),Chengdu,China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China(UESTC),Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122931242","display_name":"Hongliang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongliang Li","raw_affiliation_strings":["University of Electronic Science and Technology of China(UESTC),Chengdu,China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China(UESTC),Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5122960348"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.85798598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"204","last_page":"209"},"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":0.9829999804496765,"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":0.9829999804496765,"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/T11448","display_name":"Face recognition and analysis","score":0.002400000113993883,"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/T10028","display_name":"Topic Modeling","score":0.0010000000474974513,"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/orthogonality","display_name":"Orthogonality","score":0.7587000131607056},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5835000276565552},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5415999889373779},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5228000283241272},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5105000138282776},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4596000015735626},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4560000002384186},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4544999897480011}],"concepts":[{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.7587000131607056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.739300012588501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6611999869346619},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5835000276565552},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5415999889373779},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5228000283241272},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5105000138282776},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4596000015735626},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4560000002384186},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4544999897480011},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.44760000705718994},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.384799987077713},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3799999952316284},{"id":"https://openalex.org/C3018790387","wikidata":"https://www.wikidata.org/wiki/Q869010","display_name":"Hybrid learning","level":2,"score":0.36910000443458557},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3650999963283539},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.3571999967098236},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.35519999265670776},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.34709998965263367},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.3244999945163727},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2833000123500824}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp64401.2025.11324288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp64401.2025.11324288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7370400428771973,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2117539524","https://openalex.org/W2786446225","https://openalex.org/W2796346823","https://openalex.org/W2948734064","https://openalex.org/W2964189064","https://openalex.org/W2967444841","https://openalex.org/W2981864462","https://openalex.org/W3021931813","https://openalex.org/W3034856281","https://openalex.org/W3035342403","https://openalex.org/W3177494822","https://openalex.org/W3178686235","https://openalex.org/W3180392831","https://openalex.org/W3202568778","https://openalex.org/W4226134030","https://openalex.org/W4312309344","https://openalex.org/W4312327301","https://openalex.org/W4313028293","https://openalex.org/W4386057810","https://openalex.org/W4402716128"],"related_works":[],"abstract_inverted_index":{"Few-Shot":[0],"Class-Incremental":[1],"Learning":[2],"(FSCIL)":[3],"requires":[4],"models":[5],"to":[6,30,76,96,112,134],"progressively":[7],"learn":[8],"novel":[9,26,46,114],"classes":[10,27,34,41,111],"with":[11,89],"limited":[12],"samples":[13],"while":[14],"mitigating":[15],"catastrophic":[16],"forgetting":[17],"of":[18,39,45,67],"base":[19,33,40,110],"classes.":[20],"Existing":[21],"methods":[22],"face":[23],"dual":[24],"challenges:":[25],"are":[28],"prone":[29],"misclassification":[31],"into":[32],"because":[35],"the":[36,43,49,59,64,78],"strong":[37],"discriminability":[38],"distracts":[42],"classification":[44],"classes,":[47],"and":[48,71,92,130,147,165],"feature":[50,162],"space":[51,163],"lacks":[52],"sufficient":[53],"generalization":[54],"capacity.":[55],"This":[56],"paper":[57],"proposes":[58],"OrthCal":[60,151],"framework":[61,156],"built":[62],"on":[63,145],"deep":[65],"integration":[66],"orthogonal":[68,100],"contrastive":[69,94,128],"learning":[70,95],"a":[72,158],"prototype":[73,104,166],"calibration":[74,167],"strategy":[75],"improve":[77],"performance":[79],"during":[80,141],"incremental":[81,142],"sessions.":[82,143],"Our":[83],"three-stage":[84],"optimization":[85,164],"includes:":[86],"1)":[87],"pretraining":[88],"hybrid":[90],"supervised":[91],"self-supervised":[93],"construct":[97],"geometrically":[98],"constrained":[99],"pseudo-targets.":[101],"2)":[102],"Dynamic":[103],"calibration,":[105],"using":[106],"semantic":[107],"similarity":[108],"among":[109],"adjust":[113],"class":[115],"prototypes":[116,132],"without":[117],"additional":[118],"training.":[119],"3)":[120],"Hybrid":[121],"loss":[122],"design":[123],"optimizing":[124],"orthogonality":[125],"constraints,":[126],"perturbation-sensitive":[127],"loss,":[129],"calibrated":[131],"jointly":[133],"address":[135],"challenges":[136],"arising":[137],"from":[138],"data":[139],"limitations":[140],"Experiments":[144],"miniImageNet":[146],"CIFAR100":[148],"demonstrate":[149],"that":[150],"achieves":[152],"state-of-the-art":[153],"performance.":[154],"The":[155],"provides":[157],"unified":[159],"solution":[160],"for":[161],"in":[168],"FSCIL.":[169]},"counts_by_year":[],"updated_date":"2026-01-14T23:44:37.837170","created_date":"2026-01-14T00:00:00"}