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Dingguo Shen

2 accepted papers

2020

RANet: Region Attention Network for Semantic Segmentation

NeurIPS 2020poster

Recent semantic segmentation methods model the relationship between pixels to construct the contextual representations. In this paper, we introduce the \emph{Region Attention Network} (RANet), a novel attention network for modeling the relationship between object regions. RANet divides the image int…

2019

ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation

CVPR 2019poster

Multi-scale context information has proven to be essential for object segmentation tasks. Recent works construct the multi-scale context by aggregating convolutional feature maps extracted by different levels of a deep neural network. This is typically done by propagating and fusing features in a on…

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