Point Cloud Classification and Segmentation

• Here, I designed deep learning-based point cloud classification and segmentation models, including PointNet, PointNet++, DGCNN, and PointTransformer
• Point Cloud classification was achieved with an average accuracy of ~95% whereas segmentation was achieved with an average accuracy of ~98%. Ablation studies with point cloud transformations were also performed