Long Short-Term Sample Distillation
Table 1: CIFAR100 classification accuracy (%) obtained by different networks. Bold values indicate the best performance.
['[BOLD] Network', 'ResNet-20', 'ResNet-32', 'ResNet-56', 'ResNet-110', 'DenseNet-100']
Computer Vision. Specifically, LSTSD achieves accuracies of 69.42%, 71.51%, 73.17%, 73.83% for residual networks with 20, 32, 56 and 110 layers, respectively, and 79.35% for DenseNet-100.