Web: http://arxiv.org/abs/2209.09385

Sept. 21, 2022, 1:12 a.m. | Dongqiangzi Ye, Zixiang Zhou, Weijia Chen, Yufei Xie, Yu Wang, Panqu Wang, Hassan Foroosh

cs.CV updates on arXiv.org arxiv.org

LiDAR-based 3D object detection, semantic segmentation, and panoptic
segmentation are usually implemented in specialized networks with distinctive
architectures that are difficult to adapt to each other. This paper presents
LidarMultiNet, a LiDAR-based multi-task network that unifies these three major
LiDAR perception tasks. Among its many benefits, a multi-task network can
reduce the overall cost by sharing weights and computation among multiple
tasks. However, it typically underperforms compared to independently combined
single-task models. The proposed LidarMultiNet aims to bridge the performance …

arxiv lidar network perception

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