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One of the practical choices for making a lightweight semantic segmentation model is to combine a depth-wise separable convolution with a dilated convolution.
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Imagenet large scale visual recognition challenge
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X. Zhang, X. Zhou, M. Lin, and J. Sun · 2017
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Encoder-decoder with atrous separable convolution for semantic image segmentation
L.-C. Chen, Y. Zhu, G. Papandreou, F. Schroff, and H. Adam · 2018
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Depthwise separable convolutions for neural machine translation
L. Kaiser, A. N. Gomez, and F. Chollet · 2018
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Rtseg: Real-time semantic segmentation comparative study
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Efficient semantic segmentation using gradual grouping
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Understanding convolution for semantic segmentation
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