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Image Classification on VDD

86.7Average AccuracyCHEEM
-2.32420.78843.967.012Mar 14, 2023

Evaluation results

MethodLinks
CHEEMBackbone=ViT-Base, FLOPs=61.62023.0386.70.4
LoRA-CLBackbone=ViT-Base, FLOPs=68.22023.03860.3
S-PromptsBackbone=ViT-Base, FLOPs=67.62023.0378.60.4
CHEEMBackbone=DEiT-Tiny, FLOPs=4.52023.0376.181
LoRA-CLBackbone=DEiT-Tiny, FLOPs=4.52023.03741.1
TunaBackbone=ViT-Base, FLOPs=337.02023.0370.714.9
DIKIBackbone=ViT-Base, FLOPs=42.52023.0365.90.1
S-PromptsBackbone=DEiT-Tiny, FLOPs=4.42023.0365.80.9
DIKIBackbone=DEiT-Tiny, FLOPs=2.82023.0358.30.6
MoALBackbone=ViT-Base, FLOPs=33.72023.0356.71
MoALBackbone=DEiT-Tiny, FLOPs=2.22023.0347.92.1
TunaBackbone=DEiT-Tiny, FLOPs=21.52023.0347.822.9
EWCBackbone=ViT-Base, FLOPs=33.72023.03445.1
EWCBackbone=DEiT-Tiny, FLOPs=2.22023.0333.71.5
DualPBackbone=ViT-Base, FLOPs=70.32023.0328.13.2
CODA-PBackbone=ViT-Base, FLOPs=70.32023.0324.926.1
L2PBackbone=ViT-Base, FLOPs=70.32023.0323.99
DualPBackbone=DEiT-Tiny, FLOPs=5.02023.0319.410.5
L2PBackbone=DEiT-Tiny, FLOPs=5.12023.0311.520.9
CODA-PBackbone=DEiT-Tiny, FLOPs=5.02023.031.137.6