This is a personal Caffe implementation of MobileNetV3. For details, please read the original papers: Searching for MobileNetV3.
- Requirements for
Caffe(see: Caffe installation instructions) - Add new caffe layers and rebuild the caffe:
- Depthwise Convolutional Layer from yonghenglh6/DepthwiseConvolution
- ReLU6 Layer from RuiminChen/Caffe-MobileNetV2-ReLU6
- Run test
CPU: $CAFFE_ROOT/build/tools/caffe time -model mobilenet_v3_large_1.0.prototxt GPU: $CAFFE_ROOT/build/tools/caffe time -model mobilenet_v3_large_1.0.prototxt -gpu 0
| Backbone | CPU-Forward | CPU-Backward | GPU-Forward | GPU-Backward |
|---|---|---|---|---|
| V3-Large 1.0 | 134.55 ms | 140.23 ms | 15.44 ms | 21.79 ms |
| V3-Small 1.0 | 58.64 ms | 59.30 ms | 11.49 ms | 12.58 ms |
- More MobileNetV3 architectures.
- Traning & validation.