Region Comparison Network for Interpretable Few-shot Image Classification

Benchmark Model Rank Results
few-shot-image-classification-on-cifar-fs-5-way-1-shotRCN - ResNet12#32Accuracy: 69.02
few-shot-image-classification-on-cifar-fs-5-way-1-shotRCN - Conv4-64#35Accuracy: 61.61
few-shot-image-classification-on-cifar-fs-5-way-5-shotRCN - ResNet12#32Accuracy: 82.96
few-shot-image-classification-on-cifar-fs-5-way-5-shotRCN - Conv4-64#35Accuracy: 77.63
few-shot-image-classification-on-mini-imagenet-5-way-1-shotRCN - ResNet12#72Accuracy: 57.40
few-shot-image-classification-on-mini-imagenet-5-way-1-shotRCN - Conv4-64#79Accuracy: 53.57
few-shot-image-classification-on-mini-imagenet-5-way-5-shotRCN - ResNet12#65Accuracy: 75.19
few-shot-image-classification-on-mini-imagenet-5-way-5-shotRCN - Conv4-64#71Accuracy: 71.63