Table 6 The performance of different network on Tiny ImageNet
From: An multi-scale learning network with depthwise separable convolutions
Method | Iterations, 42000; batch_size, 256 | |
|---|---|---|
Acc(%) | Number of training parameters | |
GoogleNet | 48.26 | 6640 |
AlexNet | 44.25 | 2016 |
MobileNet | 34.53 | 251 |
Our method 1 | 43.19 | 529 |
Our method 2 | 41.80 | 529 |