Shuhua Dong

PDLNet: Learning Point Cloud Distortion for Unsupervised Cross-Domain Point Cloud Segmentation in Adverse Weather

Existing point cloud semantic segmentation models are usually trained and evaluated using data collected under clear weather conditions. Under adverse weather conditions such as rain, snow and fog, point clouds are usually distorted and significant degradation of existing model performance occurs. M…