Task Augmentation by Rotating for Meta-Learning

Benchmark Model Rank Results
few-shot-image-classification-on-cifar-fs-5R2-D2+Task Aug#17Accuracy: 77.66
few-shot-image-classification-on-cifar-fs-5MetaOptNet-SVM+Task Aug#19Accuracy: 76.75
few-shot-image-classification-on-cifar-fs-5-1MetaOptNet-SVM+Task Aug#18Accuracy: 88.38
few-shot-image-classification-on-cifar-fs-5-1R2-D2+Task Aug#20Accuracy: 88.33
few-shot-image-classification-on-fc100-5-wayR2-D2+Task Aug#3Accuracy: 51.35
few-shot-image-classification-on-fc100-5-wayMetaOptNet-SVM+Task Aug#5Accuracy: 49.77
few-shot-image-classification-on-fc100-5-way-1R2-D2+Task Aug#1Accuracy: 67.66
few-shot-image-classification-on-fc100-5-way-1MetaOptNet-SVM+Task Aug#2Accuracy: 67.17
few-shot-image-classification-on-mini-1R2-D2+Task Aug#8Accuracy: 65.95%
few-shot-image-classification-on-mini-1MetaOptNet-SVM+Task Aug#9Accuracy: 65.38%
few-shot-image-classification-on-mini-2R2-D2+Task Aug#48Accuracy: 65.95
few-shot-image-classification-on-mini-2MetaOptNet-SVM+Task Aug#51Accuracy: 65.38
few-shot-image-classification-on-mini-3MetaOptNet-SVM+Task Aug#41Accuracy: 82.13
few-shot-image-classification-on-mini-3R2-D2+Task Aug#42Accuracy: 81.96