Abstract: Semantic scene understanding is crucial for robotics and computer vision applications. In autonomous driving, 3D semantic segmentation plays an important role for enabling safe navigation.

Abstract: Three-dimensional images are frequently used in medical imaging research for classification, segmentation, and detection. However, the limited availability of 3D images hinders research ...

This project was developed for view 3D object detection and tracking results. It supports rendering 3D bounding boxes as car models and rendering boxes on images. from viewer.viewer import Viewer ...

I found the linked page to view angles unclear because it's not clear if matplotlib 3D supports 6 DOF. By that I mean the ability to configure (either in the GUI or programmatically) the camera with ...

In this era of data-driven innovations, the demand for diverse, high-quality, reliable data is constantly rising. However, accessing and utilizing real-world data can often be challenging due privacy ...

Rendering bridges the gap between 3D scene attributes and 2D images. PyTorch3D is a modular toolkit that simplifies 3D deep learning. The library offers fast, differentiable 3D operators and loss ...

Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...