Semantic Segmentation Models

ESPNet is a convolutional neural network for semantic segmentation of high resolution images under resource constraints. ESPNet is based on a convolutional module, efficient spatial pyramid (ESP), which is efficient in terms of computation, memory, and power.

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


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