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Novel tile segmentation scheme for omnidirectional video
Regular omnidirectional video encoding technics use map projection to flatten a scene from a spherical shape into one or several 2D shapes.
Demystifying ResNet
We show that with or without nonlinearities, by adding shortcuts that have depth two, the condition number of the Hessian of the loss function at the zero initial point is depth-invariant, which makes training very deep models no more difficult than shallow ones.
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