ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet
79.61Accuracy
8
MiniImageNet (meta-test)
33.82Best Accuracy (5-way 1-shot)
8
ImageNet-100 20-class subset
44.6Top-1 Accuracy
8
ImageNet (Split 3)
0.46Spearman Correlation
8
ImageNet (Split 2)
0.2Spearman Correlation
8
ImageNet (Split 1)
0.66Spearman correlation
8
ImageNet (val)
59.15Top-1 Accuracy
8
TinyImageNet
43.25Top-1 Accuracy (NID1_0.05)
8
ImageNet 256x256
23.95PSNR
8
ImageNet (val)
72.3Accuracy
8
ImageNet 100 images (val)
66.6SSIM
8
ImageNet 100 images (val)
77.1SSIM
8
ImageNet 100 images (val)
0.661SSIM
8
ImageNet subsets 1.0 (test)
59.3Nette Score
8
ImageNet
69.04Overall Accuracy
8
ImageNet (test)
84.52Model Performance: VGG16
8
TinyImageNet
94.05AUC
8
ImageNet 1k (train)
69.2Accuracy @ 100 Epochs
8
ImageNet-R 10-task split
0.26Params (M)
8
ImageNet-1000 100-100 scenario
62.44Last Accuracy
8
ImageNet-100 50-10 scenario
77.19Last Accuracy
8
ImageNet
72SSIM
8
Tiny ImageNet 70% (test)
83.5Accuracy (Test)
8
ImageNet clean (test)
79.25Test Accuracy
8
ImageNet-1K (test)
94.4ASR
8