Research Article
Highly Robust Synthetic Aperture Radar Target Recognition Method Based on Simulation Data Training
Table 4
Architectures of DenseNets. Note that each “conv” layer shown in the table corresponds to the sequence BN-ReLU-Conv.
| Layer name | DenseNet-121 | DenseNet-169 | DenseNet-201 | DenseNet-161 |
| Stage 0 | 7 × 7 conv, stride 2 |
| Stage 1 | Max pool, 3 × 3, stride 2 | | | | | Transition layer | 1 × 1 conv | 1 × 1 average pool, stride 2 | Stage 2 | | | | | Transition layer | 1 × 1 conv | 1 × 1 average pool, stride 2 | Stage 3 | | | | | Transition layer | 1 × 1 conv | 1 × 1 average pool, stride 2 | Stage 4 | | | | | Classification | Global average pool | 3-d FC, softmax |
|
|