Point Transformer excels in 3D Image Processing - with Python Code

Transformers outshine convolutional neural networks and recurrent neural networks in many applications from various domains, including natural language processing, image classification and medical image segmentation. Point Transformer is introduced to establish state-of-the-art performances in 3D image data processing as another piece of evidence. Point Transformer is robust to perform multiple tasks such as 3D image semantic segmentation, 3D image classification and 3D image part segmentation. This difference makes standard computer vision deep learning networks not suitable for 3D image processing. A standard convolutional layer operates on a 2D image with a simple convolution operator.