Efficient Spatial Pyramid

Introduced by Mehta et al. in ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

An Efficient Spatial Pyramid (ESP) is an image model block based on a factorization principle that decomposes a standard convolution into two steps: (1) point-wise convolutions and (2) spatial pyramid of dilated convolutions. The point-wise convolutions help in reducing the computation, while the spatial pyramid of dilated convolutions re-samples the feature maps to learn the representations from large effective receptive field. This allows for increased efficiency compared to another image blocks like ResNeXt blocks and Inception modules.

Source: ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

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