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Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras
In order to evaluate the capacity of a camera to render textures properly, the standard practice, used by classical scoring protocols, is to compute the frequential response to a dead leaves image target, from which is built a texture acutance metric.
Nested Learning For Multi-Granular Tasks
Standard deep neural networks (DNNs) are commonly trained in an end-to-end fashion for specific tasks such as object recognition, face identification, or character recognition, among many examples.
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