Grafit: Learning fine-grained image representations with coarse labels

Benchmark Model Rank Results
fine-grained-image-classification-on-food-101Grafit (RegNet-8GF)Accuracy: 93.7
fine-grained-image-classification-on-oxfordGrafit (RegNet-8GF)Accuracy: 99.1%
fine-grained-image-classification-on-stanfordGrafit (RegNet-8GF)Accuracy: 94.7%
image-classification-on-cifar-100Grafit (ResNet-50)Percentage correct: 83.7
image-classification-on-flowers-102Grafit (RegNet-8GF)Accuracy: 99.1%
image-classification-on-imagenetGrafit (ResNet-50)Top 1 Accuracy: 79.6%
image-classification-on-inaturalist-2018RegNet-8GFTop-1 Accuracy: 81.2%
image-classification-on-inaturalist-2018ResNet-50Top-1 Accuracy: 69.8%
image-classification-on-inaturalist-2019Grafit (RegnetY 8GF)Top-1 Accuracy: 84.1