GPU-Efficient Dense Convolutional Network for Real-time Semantic Segmentation
Xinneng Yang Yan Wu Junqiao Zhao Feilin Liu Xinneng Yang Yan Wu Junqiao Zhao Feilin Liu
Real-time semantic segmentation is a challenging task as both accuracy and inference speed need to be considered simultaneously. In real-world applications, it is usually achieved by deploying a deep neural network in modern GPU device. However, most of the work focused on real-time semantic segmentation is designed by significantly reducing computation complexity and model size. There are other f...