A Simple Episodic Linear Probe Improves Visual Recognition in the Wild

Benchmark Model Rank Results
fine-grained-image-classification-on-cub-200-1ELP#13Accuracy: 88.8
fine-grained-image-classification-on-fgvcELP#25Accuracy: 92.7
fine-grained-image-classification-on-stanfordELP#35Accuracy: 94.2
image-classification-on-imagenetELP (naive ResNet50)#865Top 1 Accuracy: 76.13
long-tail-learning-on-cifar-10-lt-r-10ELP#27Error Rate: 11.3
long-tail-learning-on-cifar-10-lt-r-100ELP#23Error Rate: 22
long-tail-learning-on-cifar-100-lt-r-10ELP#21Error Rate: 40.9
long-tail-learning-on-cifar-100-lt-r-100ELP#51Error Rate: 57.6