EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations

Benchmark Model Rank Results
image-classification-on-cifar-10EnAET#57Percentage correct: 98.01
image-classification-on-cifar-100EnAET#87Percentage correct: 83.13
image-classification-on-stl-10EnAET#9Percentage correct: 95.48
image-classification-on-svhnEnAET#26Percentage error: 2.22
semi-supervised-image-classification-on-cifarEnAET#6Percentage error: 4.18
semi-supervised-image-classification-on-cifar-2EnAET (WRN-28-2-Large)#10Percentage error: 22.92
semi-supervised-image-classification-on-cifar-2EnAET (WRN-28-2)#15Percentage error: 26.93±0.21
semi-supervised-image-classification-on-stl-1EnAET#6Accuracy: 91.96
semi-supervised-image-classification-on-svhnEnAET#4Accuracy: 97.58
semi-supervised-image-classification-on-svhn-1EnAET#5Accuracy: 96.79