ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet 64x64
16.31PSNR
6
ImageNet LT (train)
21.7FID
6
ImageNet OOD DEEPNETS-1M (test)
92.9Top-5 Accuracy (RESNET)
6
ImageNet-1K (val)
0.235Top-1 Classification Error Rate
6
ImageNet-100C (test)
23.671mCE
6
ImageNet-C-9 (test)
31.65Accuracy
6
ImageNet-R-9 (test)
36.28Accuracy
6
ImageNet 9 (test)
86.72Accuracy
6
ImageNet segmentation
70.36Pixel Accuracy
6
ImageNet 5-shot
78.21Accuracy (5-shot)
6
ImageNet (val)
80.6Top-1 Accuracy
6
ImageNet Object (test)
9,900Realism Score
6
ImageNet
24.757PSNR
6
ImageNet 30 classes 1k subset (test)
97Mean AUC
6
ImageNet
72.9Class Score (0)
6
ImageNet 128x128 (train val)
156.4IS
6
ImageNet 6K
30.5Top-5 Acc (Novel, 1-shot)
6
ImageNet (val)
77.21P@1
6
ImageNet
76.3Top-1 Accuracy (Clean)
6
Downsampled ImageNet 64x64
3.52NLL (bits/dim)
6
ImageNet 10K (test)
28.4Top-1 Acc (Flat)
6
ImageNet ILSVRC'15 (test)
3.57Top-5 Error
6
IMAGENET (ID) vs ImageNet-O Categories (OoD)
0.57OoD Detection: Castle
6
ImageNet
7.39FID (Canny)
6
ImageNet-C (level 4)
79.2Top-1 Acc (Brightness)
6