TABLE 1.
Conv layer | SRF | MRF | MRF |
Conv1 | Size: 3 × 3 × 5 | Size: 3 × 3 × 5 | Size: 3 × 3 × 5 |
Strides: 2, 2, 4 | Strides: 2, 2, 4 | Strides: 2, 2, 4 | |
Filters: 16 | Filters: 16 | Filters: 16 | |
Conv2 | Size: 2 × 2 × 1 | Size: 2 × 2 × 3 | Size: 2 × 2 × 5 |
Strides: 2, 2, 1 | Strides: 2, 2, 2 | Strides: 2, 2, 4 | |
Filters: 32 | Filters: 32 | Filters: 32 | |
Conv3 | Size: 2 × 2 × 1 | Size: 2 × 2 × 3 | Size: 2 × 2 × 5 |
Strides: 2, 2, 1 | Strides: 2, 2, 2 | Strides: 2, 2, 4 | |
Filters: 64 | Filters: 64 | Filters: 64 |
“Size” means the height, width, and depth of the 3D convolution window. “Strides” means the strides of the convolution window along each dimension. “Filters” means the number of output filters in each convolution layer.