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Accuracy on Continual Learning on ImageNet-R (test)

87.55AccuracyJoint
41.956453.793265.6377.4668Sep 28, 2025

Evaluation results

MethodLinks
JointMemory=N/A2025.0987.5589.24
LwFMemory=Θ(1)2025.0982.9778.21
CMMMemory=Θ(1)2025.0982.6980.21
EWCMemory=Θ(1)2025.0982.4279.33
MaxAbsMemory=Θ(N)2025.0982.3379.54
TIESMemory=Θ(N)2025.0982.2779.75
RandMixMemory=Θ(N)2025.0981.8879.46
AvgMemory=Θ(N)2025.0981.8779.46
MaPLeMemory=Θ(1)2025.0979.7177.12
PROOFMemory=Θ(N)2025.0979.778.13
CODA-PMemory=Θ(N)2025.0979.577.95
CoOpMemory=Θ(1)2025.0978.6674.62
CLIP-AdapterMemory=Θ(1)2025.0978.173.21
Zero-shotMemory=Θ(1)2025.0977.7372.32
Continual-CLIPMemory=Θ(1)2025.0976.9472.6
AttriCLIPMemory=Θ(1)2025.0976.5372.49
DualPromptMemory=Θ(N)2025.0976.4175.36
VPTMemory=Θ(1)2025.097466.66
L2PMemory=Θ(N)2025.0969.3369.69
iCaRLMemory=Θ(N)2025.0943.7150.66