Match Them Up: Visually Explainable Few-shot Image Classification

Benchmark Model Rank Results
few-shot-image-classification-on-cifar-fs-5MTUNet+WRN#33Accuracy: 68.34
few-shot-image-classification-on-cifar-fs-5MTUNet+ResNet-18#34Accuracy: 66.31
few-shot-image-classification-on-cifar-fs-5-1MTUNet+WRN#33Accuracy: 82.93
few-shot-image-classification-on-cifar-fs-5-1MTUNet+ResNet-18#34Accuracy: 80.16
few-shot-image-classification-on-mini-2MTUNet+WRN#74Accuracy: 56.12
few-shot-image-classification-on-mini-2MTUNet+ResNet-18#77Accuracy: 55.03
few-shot-image-classification-on-mini-3MTUNet+WRN#70Accuracy: 71.93
few-shot-image-classification-on-mini-3MTUNet+ResNet-18#77Accuracy: 70.22
few-shot-image-classification-on-tieredMTUNet+WRN#42Accuracy: 62.42
few-shot-image-classification-on-tieredMTUNet+ResNet-18#43Accuracy: 61.27
few-shot-image-classification-on-tiered-1MTUNet+WRN#40Accuracy: 80.05
few-shot-image-classification-on-tiered-1MTUNet+ResNet-18#43Accuracy: 77.82