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Pruning CNN's with linear filter ensembles
Contrary to the filter norm method -- used in ``conventional`` network pruning -- based on the assumption that a smaller norm implies ``less importance'' to its associated component, we develop a novel filter importance norm that is based on the change in the empirical loss caused by the presence or removal of a component from the network architecture.
Distortion Estimation Through Explicit Modeling of the Refractive Surface
Precise calibration is a must for high reliance 3D computer vision algorithms.
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