Hands-On Bayesian Neural Networks—A Tutorial for Deep Learning Users
Modern deep learning methods constitute incredibly powerful tools to tackle a myriad of challenging problems. However, since deep learning methods operate as black boxes, the uncertainty associated…
A Survey on Deep Learning Techniques for Stereo-Based Depth Estimation
Estimating depth from RGB images is a long-standing ill-posed problem, which has been explored for decades by the computer vision, graphics, and machine learning communities. Among the existing tec…
Image-Based 3D Object Reconstruction : State-of-the-Art and Trends in the Dee…
3D reconstruction is a longstanding ill-posed problem, which has been explored for decades by the computer vision, computer graphics, and machine learning communities. Since 2015, image-based 3D re…
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