From: Plant diseases detection with low resolution data using nested skip connections
Blocks | Sub | Types | Output size | # Params |
---|---|---|---|---|
Initialization | – | \(\text {Conv2D } 3\times 3\) | \(31 \times 31 \times 64\) | 1728 |
– | \(\text {Conv2D } 3\times 3\) | \(29 \times 29 \times 64\) | 36,864 | |
Compact block 1 | Branch 1 | \(\begin{bmatrix} \text {Prev. layer} \\ \text {Conv2D } 3\times 3 \end{bmatrix}\) | \(15 \times 15 \times 192\) | 368,896 |
Branch 2 | \(\text {Conv2D } 1\times 1\) | \(15 \times 15 \times 320\) | 8192 | |
Transition | – | \(\text {Conv2D } 3\times 3\) | \(8 \times 8 \times 128\) | 369,920 |
Compact block 2 | Branch 1 | \(\begin{bmatrix} \text {Prev. layer} \\ \text {Conv2D } 3\times 3 \end{bmatrix}\) | \(4 \times 4 \times 384\) | 885,248 |
Branch 2 | \(\text {Conv2D } 1\times 1\) | \(4 \times 4 \times 640\) | 32,768 | |
Transition | – | \(\text {Conv2D } 3\times 3\) | \(2 \times 2 \times 256\) | 1,477,120 |
Compact block 3 | Branch 1 | \(\begin{bmatrix} \text {Prev. layer} \\ \text {Conv2D } 3\times 3 \end{bmatrix}\) | \(2 \times 2 \times 768\) | 3,539,968 |
Branch 2 | \(\text {Conv2D } 1\times 1\) | \(1 \times 1 \times 1280\) | 131,072 | |
Transition | – | \(\text {Conv2D } 3\times 3\) | \(1 \times 1 \times 256\) | 2,954,240 |
Classification layer | – | Glob. Av. pool. | \(256 \times 1\) | – |
– | 11 FC layer | \(11 \times 1\) | 2827 |