EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients

Benchmark Model Rank Results
few-shot-image-classification-on-cifar-fs-5EASY 3xResNet12 (transductive)#7Accuracy: 87.16
few-shot-image-classification-on-cifar-fs-5EASY 2xResNet12 1/√2 (transductive)#8Accuracy: 86.99
few-shot-image-classification-on-cifar-fs-5EASY 3xResNet12 (inductive)#21Accuracy: 76.2
few-shot-image-classification-on-cifar-fs-5EASY 2xResNet12 1/√2 (inductive)#24Accuracy: 75.24
few-shot-image-classification-on-cifar-fs-5-1EASY 3xResNet12 (transductive)#10Accuracy: 90.47
few-shot-image-classification-on-cifar-fs-5-1EASY 2xResNet12 1/√2 (transductive)#11Accuracy: 90.2
few-shot-image-classification-on-cifar-fs-5-1EASY 3xResNet12 (inductive)#14Accuracy: 89.0
few-shot-image-classification-on-cifar-fs-5-1EASY 2xResNet12 1/√2 (inductive)#19Accuracy: 88.38
few-shot-image-classification-on-cub-200-5EASY 4xResNet12 (transductive)#9Accuracy: 93.5
few-shot-image-classification-on-cub-200-5EASY 3xResNet12 (inductive)#13Accuracy: 91.93
few-shot-image-classification-on-cub-200-5EASY 4xResNet12 (inductive)#14Accuracy: 91.59
few-shot-image-classification-on-cub-200-5-1EASY 3xResNet12 (transductive)#9Accuracy: 90.56
few-shot-image-classification-on-cub-200-5-1EASY 4xResNet12 (transductive)#10Accuracy: 90.5
few-shot-image-classification-on-cub-200-5-1EASY 3xResNet12 (inductive)#20Accuracy: 78.56
few-shot-image-classification-on-cub-200-5-1EASY 4xResNet12 (inductive)#21Accuracy: 77.97
few-shot-image-classification-on-fc100-5-wayEASY 2xResNet12 1/√2 (transductive)#1Accuracy: 54.47
few-shot-image-classification-on-fc100-5-wayEASY 3xResNet12 (transductive)#2Accuracy: 54.13
few-shot-image-classification-on-fc100-5-wayEASY 3xResNet12 (inductive)#7Accuracy: 48.07
few-shot-image-classification-on-fc100-5-wayEASY 2xResNet12 1/√2 (inductive)#8Accuracy: 47.94
few-shot-image-classification-on-fc100-5-way-1EASY 3xResNet12 (transductive)#3Accuracy: 66.86
few-shot-image-classification-on-fc100-5-way-1EASY 2xResNet12 1/√2 (transductive)#6Accuracy: 65.82
few-shot-image-classification-on-fc100-5-way-1EASY 3xResNet12 (inductive)#8Accuracy: 64.74
few-shot-image-classification-on-fc100-5-way-1EASY 2xResNet12 1/√2 (inductive)#9Accuracy: 64.14
few-shot-image-classification-on-mini-2EASY 3xResNet12 (transductive)#9Accuracy: 84.04
few-shot-image-classification-on-mini-2EASY 2xResNet12 1/√2 (transductive)#12Accuracy: 82.31
few-shot-image-classification-on-mini-2EASY 3xResNet12 (inductive)#28Accuracy: 71.75
few-shot-image-classification-on-mini-2EASY 2xResNet12 1/√2 (inductive)#31Accuracy: 70.63
few-shot-image-classification-on-mini-3EASY 3xResNet12 (transductive)#13Accuracy: 89.14
few-shot-image-classification-on-mini-3EASY 2xResNet12 1/√2 (transductive)#15Accuracy: 88.57
few-shot-image-classification-on-mini-3EASY 3xResNet12 (inductive)#17Accuracy: 87.15
few-shot-image-classification-on-mini-3EASY 2xResNet12 1/√2 (inductive)#21Accuracy: 86.28
few-shot-image-classification-on-tieredEASY 3xResNet12 (transductive)#5Accuracy: 84.29
few-shot-image-classification-on-tieredASY ResNet12 (transductive)#7Accuracy: 83.98
few-shot-image-classification-on-tieredEASY 3xResNet12 (inductive)#18Accuracy: 74.71
few-shot-image-classification-on-tieredASY ResNet12 (ours)#20Accuracy: 74.31
few-shot-image-classification-on-tiered-1EASY 3xResNet12 (transductive)#8Accuracy: 89.76
few-shot-image-classification-on-tiered-1ASY ResNet12 (transductive)#10Accuracy: 89.26
few-shot-image-classification-on-tiered-1EASY 3xResNet12 (inductive)#14Accuracy: 88.33
few-shot-image-classification-on-tiered-1ASY ResNet12 (inductive)#16Accuracy: 87.86
few-shot-learning-on-mini-imagenet-5-way-1EASY (transductive)#2Accuracy: 82.75