ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet 512x512 (test/val)
1.85FID
39
miniImageNet 5-way (test)
67.761-shot Acc
39
ImageNet (val)
24.6Top-1 Error
39
ImageNet-1K
84.83Top-1 Recovered Accuracy
38
ImageNet 256p
35.9PSNR
38
ImageNet A, V, R, S (val)
72.25ImageNet Accuracy
38
ImageNet (test)
34.77Mean L2 Distortion (2K Budget)
38
ImageNet 256x256
1.42FID
38
ImageNet-compatible Stable Diffusion context v1.4 (test)
99.9ASR (MN-v2)
38
ImageNet 1K (train)
4.81FID
38
tiered-ImageNet
85.15Accuracy (1-shot)
38
Tiny-ImageNet 1.0 (val)
63.2Accuracy
38
ImageNet source to 10 fine-grained target datasets (test)
96.96Caltech101 Accuracy
37
ImageNet
70.64Zero-Shot Top-1 Acc
37
ImageNet-1K 1 (val)
83.9Top-1 Acc
37
ImageNet 1k (val)
73.5Top-1 Accuracy
37
ImageNet Average
20.7FPR95
37
ImageNet-1K (val)
80.1Top-1 Acc
37
ImageNet (val)
83.3Top-1 Acc
37
ImageNet-LT 1.0 (test)
58.5Top-1 Accuracy
37
Tiny-ImageNet
0.689ACC
37
T-ImageNet (test)
38.62Accuracy
37
ImageNet-100 original (test)
88.1Top-1 Accuracy
36
ImageNet-1K
78.27Pruned Accuracy
36
ImageNet (test)
43.99PSNR
36