Leveraging the Feature Distribution in Transfer-based Few-Shot Learning

Benchmark Model Rank Results
few-shot-image-classification-on-cifar-fs-5PT+MAP#6Accuracy: 87.69
few-shot-image-classification-on-cifar-fs-5-1PT+MAP#8Accuracy: 90.68
few-shot-image-classification-on-cub-200-5PT+MAP#8Accuracy: 93.99
few-shot-image-classification-on-cub-200-5-1PT+MAP#8Accuracy: 91.55%
few-shot-image-classification-on-dirichletPT-MAP#51:1 Accuracy: 60.6
few-shot-image-classification-on-dirichlet-1PT-MAP#91:1 Accuracy: 67.1
few-shot-image-classification-on-dirichlet-2PT-MAP#71:1 Accuracy: 64.1
few-shot-image-classification-on-dirichlet-3PT-MAP#81:1 Accuracy: 70.0
few-shot-image-classification-on-dirichlet-4PT-MAP#71:1 Accuracy: 65.1
few-shot-image-classification-on-dirichlet-5PT-MAP#71:1 Accuracy: 71.3
few-shot-image-classification-on-mini-1PT+MAP#1Accuracy: 82.92%
few-shot-image-classification-on-mini-2PT+MAP (transductive)#11Accuracy: 82.92
few-shot-image-classification-on-mini-3PT+MAP#14Accuracy: 88.82
few-shot-image-classification-on-mini-5PT+MAP#3Accuracy: 62.49
few-shot-image-classification-on-mini-6PT+MAP#3Accuracy: 76.51
few-shot-image-classification-on-tieredPT+MAP#4Accuracy: 85.41
few-shot-image-classification-on-tiered-1PT+MAP#5Accuracy: 90.44