Jia-Yi Zhou

Self-Supervised 3D Point Cloud Detection with Depthwise Separable Masked Autoencoders

Three-dimensional object detection from LiDAR point clouds is essential for autonomous driving, yet existing methods typically rely on costly and extensively annotated datasets. Self-supervised masked autoencoders (MAE) provide a promising alternative, but effectively capturing local geometric structures while maintain...