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3D scene reconstruction from monocular spherical video with motion parallax
In this paper, we describe a method to capture nearly entirely spherical (360 degree) depth information using two adjacent frames from a single spherical video with motion parallax.
Physical Deep Learning with Biologically Plausible Training Method
In addition, we can emulate and accelerate the computation for this training on a simple and scalable physical system.
Attempt to Predict Failure Case Classification in a Failure Database by using Neural Network Models
Therefore, in order to maintain and improve the dependability of these systems, we are constructing a failure database from past failure cases.
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