Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning

Benchmark Model Rank Results
few-shot-image-classification-on-cifar-fs-5HCTransformers#13Accuracy: 78.89
few-shot-image-classification-on-cifar-fs-5-1HCTransformers#9Accuracy: 90.50
few-shot-image-classification-on-fc100-5-wayHCTransformers#6Accuracy: 48.27
few-shot-image-classification-on-fc100-5-way-1HCTransformers#4Accuracy: 66.42
few-shot-image-classification-on-mini-2HCTransformers#23Accuracy: 74.74
few-shot-image-classification-on-mini-3HCTransformers#11Accuracy: 89.19
few-shot-image-classification-on-tieredHCTransformers#12Accuracy: 79.67
few-shot-image-classification-on-tiered-1HCTransformers#3Accuracy: 91.72
few-shot-learning-on-mini-imagenet-5-way-1HCTransformers#35 way 1~2 shot: 74.74