Attention to Refine through Multi-Scales for Semantic Segmentation

9 Jul 2018 Shiqi Yang Gang Peng

This paper proposes a novel attention model for semantic segmentation, which aggregates multi-scale and context features to refine prediction. Specifically, the skeleton convolutional neural network framework takes in multiple different scales inputs, by which means the CNN can get representations in different scales... (read more)

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