SURE: SUrvey REcipes for building reliable and robust deep networks

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Benchmark Model Rank Results
image-classification-on-food-101n-1SURE(ResNet-50)#3Accuracy: 88.0
learning-with-noisy-labels-on-animalSURE#2Accuracy: 89.0Network: Vgg19-BNImageNet Pretrained: NO
long-tail-learning-on-cifar-10-lt-r-10SURE(ResNet-32)#2Error Rate: 5.04
long-tail-learning-on-cifar-10-lt-r-100SURE(ResNet-32)#6Error Rate: 13.07
long-tail-learning-on-cifar-10-lt-r-50SURE(ResNet-32)#2Error Rate: 9.78
long-tail-learning-on-cifar-100-lt-r-10SURE(ResNet-32)#7Error Rate: 26.76
long-tail-learning-on-cifar-100-lt-r-100SURE(ResNet-32)#9Error Rate: 43.66
long-tail-learning-on-cifar-100-lt-r-50SURE(ResNet-32)#7Error Rate: 36.87

Rank counts only results with a code link.