Edge-guided nonlinear dynamic convolution network for lightweight semantic segmentation
Chunyu Zhang,
Fang Xu,
Chengdong Wu
et al.
Abstract:As the demand for autonomous driving and robot vision arises, semantic segmentation has developed rapidly. Semantic segmentation provides the means for machines to understand the environment. However, current methods face a balance issue between segmentation quality and computational resources. Our proposed Edge-Guided Non-linear Dynamic Convolutional Network (ENNet) achieves real-time and accurate semantic segmentation. The core of our network is a novel non-linear, dynamic combination (Nd-conv) that allows f… Show more
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