Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions

Benchmark Model Rank Results
few-shot-image-classification-on-cub-200-5feat (ProtoNet)#26Accuracy: 83.03
few-shot-image-classification-on-cub-200-5-1feat (ProtoNet)#28Accuracy: 68.65
few-shot-image-classification-on-mini-2feat+ (ProtoNet-ResNet)#63Accuracy: 61.72
few-shot-image-classification-on-mini-3feat+ (ProtoNet-ResNet)#54Accuracy: 78.38
few-shot-image-classification-on-mini-5FEAT (Ye et al., 2018)#10Accuracy: 39.00