November 2018
Intermediate to advanced
492 pages
12h 19m
English
Content preview from Hands-On Image Processing with Python
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DeepLab v3 architecture
The image shows the parallel modules with atrous convolution:
With DeepLab-v3+, the DeepLab-v3 model is extended by adding a simple, yet effective, decoder module to refine the segmentation results, especially along object boundaries. The depth-wise separable convolution is applied to both atrous spatial pyramid pooling and decoder modules, resulting in a faster and stronger encoder-decoder network for semantic segmentation. The architecture is shown in the following diagram:
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