Before revision:  Compared with self-supervised baselines, which learning tasks one by one without taking any technique, we improve the image classification top-1 accuracy by 1.60\% on CIFAR100 and 2.86\% on ImageNet-Sub  under 10 incremental steps setting.
After revision:  Compared with self-supervised baselines, which learning tasks one by one without taking any technique, we improve the image classification top-1 accuracy by 1.60\% on CIFAR100 and 2.86\% on ImageNet-Sub and 1.29\% on ImageNet-Full under 10 incremental steps setting.