PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and the features can be used for general tasks like part or semantic segmentation of point clouds.

An Evaluation Metric for Object Detection Algorithms in Autonomous Navigation Systems and its application to a real-time alerting system

Implement and train slim deep neural network for semantic segmentation