ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
Tiny-ImageNet Instance-dependent Noise 0.4 (test)
80.52Accuracy (Best)
5
Tiny-ImageNet Instance-dependent Noise 0.3 (test)
82.69Best Accuracy
5
Tiny-ImageNet Symmetric Noise 0.6 (test)
80.6Accuracy (Best)
5
Tiny-ImageNet Symmetric Noise 0.4 (test)
82.48Accuracy (Best)
5
ImageNet 5-shot (val)
68.3Top-1 Acc
5
ImageNet 2-shot (val)
61.1Top-1 Accuracy
5
ImageNet 1-shot (val)
51.6Top-1 Acc
5
ImageNet-100 (retrain)
85.61Top-1 Accuracy
5
ImageNet-1K (retrain)
74.28Top-1 Acc
5
ImageNet100-A (test)
9,620ASR
5
ImageNet
29.63PSNR (dB)
5
ImageNet 128x128 (val)
1.94FID (Train)
5
ImageNet (test val)
0.682Standard Accuracy
5
ImageNet (val)
73.23Top-1 Accuracy
5
ImageNet-VID
0.224sAP
5
ImageNet
25.3Inception v3 Robust Accuracy
5
ImageNet
13Gap Prediction Error
5
ImageNet 1k (val)
74.11Accuracy (Top-1)
5
ImageNet 1k (test)
57.8C-F1
5
ImageNet 2000 image subset (test)
76.8Accuracy
5
ImageNet-E 256x256 (val)
29.8Accuracy
5
ImageNet-D 256x256 (val)
28Accuracy
5
ImageNet-B 256x256 (val)
41.5Accuracy
5
ImageNet-100 7 (test)
80.5Accuracy (All)
5
Tiny ImageNet
1,184.02Robbing the Fed Overhead
5