ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet
2.22Time Cost (s)
7
ImageNet-100 (test)
95.1Top-5 Avg Acc
7
ImageNet-100 50% known, 50% novel
89.6Known Acc
7
ImageNet V2 1 (val)
73.9Top-1 Accuracy
7
ImageNet 100% labels 1.0
80.2Top-1 Accuracy
7
ImageNet (val)
51.8Jaccard Similarity
7
Mini-ImageNet Transfer from DomainNet-Real (val)
59.92Accuracy
7
ImageNet 1K (val)
90.94Top-1 Acc
7
ImageNet OOD Transfer Suite (CUB, Cars, Aircrafts, Pets) LT (test)
70.7CUB Accuracy
7
ImageNet (test)
2.7FID-5K
7
ImageNet-1K 0.2% labels 1.0
69.6Top-1 Acc
7
ImageNet-1k 50% annotated (train)
71.36Accuracy
7
ImageNet-1k 5% annotated (train)
36.01Accuracy
7
ImageNet 32x32
1.1FID
7
ImageNet 100% labels (train)
82.8Top-1 Acc
7
ImageNet (val)
55Top-1 Acc (1%)
7
Tiny-Imagenet ε = 36/255 (test)
37.4Clean Accuracy
7
ImageNet noise level 125 16H (test)
19.45Error Rate
7
ImageNet noise level 95 16H (test)
7.89Error Rate
7
ImageNet 16H noise level 125
22.6Error Rate
7
ImageNet-16H noise level 95
9.67Error Rate
7
ImageNet 16H Noise Level 125
719ECE
7
ImageNet-16H Noise Level 110
3.92ECE
7
ImageNet 16H Noise Level 95
3.23ECE
7
ImageNet 512x512
4.23FID
7