LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation

7 May 2019Yu WangQuan ZhouJia LiuJian XiongGuangwei GaoXiaofu WuLongin Jan Latecki

The extensive computational burden limits the usage of CNNs in mobile devices for dense estimation tasks. In this paper, we present a lightweight network to address this problem,namely LEDNet, which employs an asymmetric encoder-decoder architecture for the task of real-time semantic segmentation.More specifically, the encoder adopts a ResNet as backbone network, where two new operations, channel split and shuffle, are utilized in each residual block to greatly reduce computation cost while maintaining higher segmentation accuracy... (read more)

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