Extended Batch Normalization

Benchmark Model Rank Results
image-classification-on-stl-10ResNet18(BN, 128)–Percentage correct: 78.65
image-classification-on-stl-10ResNet18(BN, 4)–Percentage correct: 81.04
image-classification-on-stl-10ResNet18(EBN, 128)–Percentage correct: 75.57
image-classification-on-stl-10ResNet18(EBN, 4)–Percentage correct: 76.49
image-classification-on-stl-10ResNet18(GN, 128)–Percentage correct: 72.66
image-classification-on-stl-10ResNet18(GN, 4)–Percentage correct: 79.3