Abstract: Limited-angle tomographic reconstruction is one of the typical ill-posed inverse problems, leading to edge divergence with degraded image quality. Recently, deep learning has been introduced ...
Abstract: A residual networks family with hundreds or even thousands of layers dominates major image recognition tasks, but building a network by simply stacking residual blocks inevitably limits its ...
This repository contains a Torch implementation for the ResNeXt algorithm for image classification. The code is based on fb.resnet.torch. ResNeXt is a simple, highly modularized network architecture ...
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