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Class-Incremental Learning on DomainNet B0 Inc69

79.7Accuracy AInfLoRA
-2.46738418.86453340.1964561.528367Oct 1, 2024Dec 4, 2024Feb 7, 2025Apr 12, 2025Jun 16, 2025Aug 19, 2025Oct 23, 2025

Evaluation results

MethodLinks
InfLoRAOptimization Protocol=FO Optimization2025.1079.7—74.057.43
CODA-PromptOptimization Protocol=FO Optimization2025.1078.84—73.2910.2
Adapter + Cls.Optimization Protocol=FO Optimization2025.1078.67—72.854.64
ZO-FCOptimization Protocol=ZO Optimization2025.1077.17—71.054.19
L2POptimization Protocol=FO Optimization2025.1076.39—70.312.22
EASEOptimization Protocol=FO Optimization2025.1075.91—70.248.54
Learnable Cls.Optimization Protocol=FO Optimization2025.1075.85—69.883.7
LAE AdapterOptimization Protocol=FO Optimization2025.1074.55—68.0315.17
APER AdapterOptimization Protocol=FO Optimization2025.1071.24—64.936.72
SimpleCILOptimization Protocol=Classifier Only2025.1065.76—59.917.02
EASEOptimization Protocol=ZO Optimization2025.1063.1—56.87.22
APER AdapterOptimization Protocol=ZO Optimization2025.1062.45—56.676.89
Learnable Cls.Optimization Protocol=ZO Optimization2025.1052.7—46.217.37
Adapter + Cls.Optimization Protocol=ZO Optimization2025.1048.24—44.294.56
LAE AdapterOptimization Protocol=ZO Optimization2025.1034.62—26.948.54
L2POptimization Protocol=ZO Optimization2025.1017.89—14.7811.86
InfLoRAOptimization Protocol=ZO Optimization2025.104.78—3.232.65
CODA-PromptOptimization Protocol=ZO Optimization2025.103.09—1.122.17
DUCTBackbone=ViT-B/16-IN21K2024.100.75290.7468——
S-iPromptBackbone=ViT-B/16-IN21K2024.100.73790.7181——
CODA-PromptBackbone=ViT-B/16-IN21K2024.100.7250.7105——
EASEBackbone=ViT-B/16-IN21K2024.100.69290.6845——