GitHub

e3d: Efficient Methods for 3D Deep Learning

We open source e3d: Efficient Methods for 3D Deep Learning, a repository containing our recent advances in efficient 3D point cloud understanding. [2020-08] Please check out our ECCV 2020 tutorial on ...
GitHub

A multimodal deep learning framework for glioma 3D segmentation, radiology report generation ,radiogenomic analysis and treatment plan.

The objective of this study was to design and evaluate a biologically inspired 3D deep learning architecture that integrates spatial attention and multi-branch convolutional pathways to enhance glioma ...
Simon Fraser University

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Several computer vision tasks require perceiving or interacting with 3D environments and objects therein, making a strong case in favor of 3D deep learning. However, unlike images which are most ...
VentureBeat

Facebook launches 3D deep learning library for PyTorch

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Facebook AI Research (FAIR) today unveiled ...
Hackaday

NASA Puts Its 3D Models Up On GitHub

NASA has a bunch of its 3D models up on GitHub, and if you didn’t know about it before, you do now. It’s a ridiculously large download, at over one and a half jiggabytes, but it’s full of textures and ...
Science Daily

Deep learning makes X-ray CT inspection of 3D-printed parts faster, more accurate

A new deep-learning framework is speeding up the process of inspecting additively manufactured metal parts using X-ray computed tomography, or CT, while increasing the accuracy of the results. The ...