ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet Source (train val)
73.27Accuracy
12
ImageNet
75.9Accuracy
12
ImageNet
66.1Top-1 Incremental Accuracy
12
ImageNet 1K (val)
79.47CDA
12
ImageNet ILSVRC12
2.73Total Elapsed Time (Hours)
12
ImageNet large-scale (test)
32.15Verified Error (%)
12
Tiny-ImageNet
72.44Accuracy (Seen)
12
Tiny ImageNet 0-99
45.6Accuracy
12
ImageNet Real 1.0 (test)
91.2Top-1 Accuracy
12
ImageNet 800 base classes, 40 novel classes, fully-overlapping (test)
57.82Accuracy (All Classes)
12
ImageNet 32 x 32
3.58NLL (bits/dim)
12
ImageNet-1K fine-tuning after ImageNet-21K pre-training (test)
87.5Top-1 Acc
12
ImageNet 10% labels (train)
0.765Top-1 Accuracy
12
ImageNet 1% labels (train)
69.6Top-1 Acc
12
ImageNet UnBiased 1k
94.5Accuracy
12
Tiny-ImageNet (train)
2.35Inception Score
12
miniImageNet (TOPIC)
72.3Accuracy (Session 1)
12
ImageNet 32x32 (test)
3.76NLL
12
miniImageNet standard (test)
58.92Accuracy
12
ImageNet (unlabelled set)
90.7Clustering Accuracy
12
ImageNet (val)
76.15Unpruned Top-1 Acc
12
ImageNet (val)
26.69Top-1 Error
12
ImageNet-30 labeled (test)
6.77Test Error Rate
12
miniImageNet (test)
75.54Accuracy
12
miniImageNet (test)
0.715-way 20-shot Accuracy
12