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Continual Learning on ImageNet 100 (test)

91.4Task 10 AccuracyUpper-bound
58.22466.83775.4584.063May 19, 2023Jul 10, 2023Aug 31, 2023Oct 23, 2023Dec 14, 2023Feb 4, 2024Mar 28, 2024

Evaluation results

MethodLinks
Upper-bound2023.0591.4——————————
MaPLeBackbone=ViT-L/14, Batch size=322024.0384.81——————————
AttriCLIP + CLAP (Ours)Backbone=ViT-L/14, Batch size=322024.0384.14——————————
CLAP (Ours)Backbone=ViT-L/14, Batch size=322024.0383.51——————————
AttriCLIPBackbone=ViT-L/14, Batch size=322024.0383.3——————————
MaPLe + CLAP (Ours)Backbone=ViT-L/14, Batch size=322024.0382.97——————————
CoOp + CLAP (Ours)Backbone=ViT-L/14, Batch size=322024.0382——————————
DualPromptBackbone=ViT-L/14, Batch size=322024.0381.9——————————
AttriCLIPMemory=02023.0581.495.489.488.988.585.687.586.986.687.3—
PROOFBackbone=ViT-L/14, Batch size=322024.0381.26——————————
ARIMemory=20002023.0579.387.685.483.182.680.480.880.580.179.6—
CoOpMemory=10002023.0579.389.283.276.779.879.982.379.780.180.3—
CoOpBackbone=ViT-L/14, Batch size=322024.0379.3——————————
Continual-CLIPMemory=02023.0575.493.387.683.181.780.580.279.378.576.9—
Continual-CLIPBackbone=ViT-L/14, Batch size=322024.0375.4——————————
DERMemory=20002023.0566.781.780.67672.174.471.870.568.367.3—
iCaRLMemory=20002023.0559.582.180.675.570.168.165.862.561.360.7—
DER++Memory Size M=50002023.12——————————42.97
DER++ + CCL-DCMemory Size M=50002023.12——————————35.32
ERMemory Size M=50002023.12——————————39.26
ER + CCL-DCMemory Size M=50002023.12——————————37.78
ER-ACEMemory Size M=50002023.12——————————23.92
ER-ACE + CCL-DCMemory Size M=50002023.12——————————34.43
GSAMemory Size M=50002023.12——————————35.44
GSA + CCL-DCMemory Size M=50002023.12——————————40.46
OCMMemory Size M=50002023.12——————————4.55
OCM + CCL-DCMemory Size M=50002023.12——————————15.33
OnProMemory Size M=50002023.12——————————14.44
OnPro + CCL-DCMemory Size M=50002023.12——————————15.72