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Domain Incremental Learning on DomainNet (test)

67.78Average AccuracyS-liPrompts
22.997634.623846.2557.8762Jul 26, 2022Jan 4, 2023Jun 15, 2023Nov 24, 2023May 4, 2024Oct 13, 2024Mar 24, 2025

Evaluation results

MethodLinks
S-liPromptsBuffer size=0/class2022.0767.78——
InfLoRA2024.0367.4668.44—
Upper-bound (S-liPrompts)Type=supervised finetuning2022.0764.08——
Upper-bound (S-iPrompts)Type=supervised finetuning2022.0763.22——
DyToxBuffer size=50/class2022.0762.94——
CODA-P2024.0357.5656.89—
C-LORA2024.0352.9544.96—
Supervised Contrastive-CaSSLeBuffer size=0/class2022.0750.9——
S-iPromptsBuffer size=0/class2022.0750.62——
L2P2024.0349.8434.15—
BYOL-CaSSLeBuffer size=0/class2022.0749.7——
LwFBuffer size=0/class2022.0749.19——
Barlow Twins-CaSSLeBuffer size=0/class2022.0748.9——
DualPrompt2024.0348.4435.24—
EWCBuffer size=0/class2022.0747.62——
SimCLR-CaSSLeBuffer size=0/class2022.0744.2——
VBM-DER++Backbone=ResNet-18, Protocol=DIL2025.0342.16—41.81
L2PBuffer size=0/class2022.0740.15——
DERBackbone=ResNet-18, Protocol=DIL2025.0339.84—40.46
VBM-ERBackbone=ResNet-18, Protocol=DIL2025.0335.8—34.72
FDRBackbone=ResNet-18, Protocol=DIL2025.0334.62—34.46
DER++Backbone=ResNet-18, Protocol=DIL2025.0334.56—34.75
ERBackbone=ResNet-18, Protocol=DIL2025.0332.38—32.02
AGEMBackbone=ResNet-18, Protocol=DIL2025.0324.88—28.94
AGEM-RBackbone=ResNet-18, Protocol=DIL2025.0324.72—28.01
JointBackbone=ResNet-18, Protocol=DIL2025.03——46.48