LENet: Lightweight And Efficient LiDAR Semantic Segmentation Using Multi-Scale Convolution Attention

This paper proposes LENet, a lightweight andcient projection-based LiDAR semantic segmentation network, which has an encoder-decoder architecture, and introduces multiple auxiliary segmentation heads to further improve the network accuracy.