ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet Sketch
49.2Accuracy
2
ImageNet V2
64.23Accuracy
2
ImageNet
70.93Accuracy
2
Split-ImageNet 10-tasks (test)
74.77Average Accuracy
2
ImageNet-LT (50k samples)
16.3FID
2
ImageNet-A (val)
21.6Acc
2
ImageNet-30 (one vs. rest)
99.9Mean AUC
2
ImageNet-R
29.92FPR95
2
ImageNet1K error-free labels (test)
22.5Top-1 Accuracy
2
ImageNet-S (val)
11.5mIoU
2
ImageNet-S300 (test)
0.18mIoU
2
ImageNet S300 (val)
17.9mIoU
2
ImageNet subset (200 classes) (test)
85.12Backdoor Accuracy
2
ImageNet (val)
86.7Top-1 Acc (eps=8)
2
ImageNet 1% labels (test)
57.77Top-1 Accuracy
2
R-ImageNet
98.7ASR
2
ImageNet partial
79.1Accuracy
2
ImageNet Hard
71.2AP
2
ImageNet Easy
78.2AP
2
ImageNet Semantic Shift Benchmark Hard
78.8Accuracy
2
ImageNet Easy Semantic Shift Benchmark
78.8Accuracy
2
ImageNet (val)
30.4Preference vs GT (%)
2
Tiny ImageNet
32.28ASR
2
ImageNet 512x512 (test)
4.46FID
2
ImageNet Occlusion (val)
65.9S_{.5}
2