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Few-Shot Image Classification on CUB-200 (test)

90.82AccuracynoHub-S
62.698469.999277.384.6008Mar 16, 2023

Evaluation results

MethodLinks
noHub-SBackbone=WideResNet28-10, Number of shots=1-shot2023.0390.827.67
noHubBackbone=WideResNet28-10, Number of shots=1-shot2023.0390.255.67
L2Backbone=WideResNet28-10, Number of shots=1-shot2023.0388.613.5
CL2Backbone=WideResNet28-10, Number of shots=1-shot2023.0388.523.33
EASEBackbone=WideResNet28-10, Number of shots=1-shot2023.0388.513.5
TCPRBackbone=WideResNet28-10, Number of shots=1-shot2023.0388.222.5
noHub-SBackbone=ResNet-18, Number of shots=1-shot2023.0383.17.67
ReRepBackbone=WideResNet28-10, Number of shots=1-shot2023.0383.13.5
noHubBackbone=ResNet-18, Number of shots=1-shot2023.0381.916.83
NoneBackbone=WideResNet28-10, Number of shots=1-shot2023.0379.231.17
EASEBackbone=ResNet-18, Number of shots=1-shot2023.0378.843.67
TCPRBackbone=ResNet-18, Number of shots=1-shot2023.0378.834
CL2Backbone=ResNet-18, Number of shots=1-shot2023.0378.262.83
L2Backbone=ResNet-18, Number of shots=1-shot2023.0378.092.33
ZNBackbone=WideResNet28-10, Number of shots=1-shot2023.03761.5
ReRepBackbone=ResNet-18, Number of shots=1-shot2023.0369.64.17
ZNBackbone=ResNet-18, Number of shots=1-shot2023.0367.432.67
NoneBackbone=ResNet-18, Number of shots=1-shot2023.0363.780.17