Web: http://arxiv.org/abs/2209.09844

Sept. 21, 2022, 1:13 a.m. | Mobarakol Islam, Ben Glocker

cs.CV updates on arXiv.org arxiv.org

Deep convolutional neural networks have shown remarkable performance on
various computer vision tasks, and yet, they are susceptible to picking up
spurious correlations from the training signal. So called `shortcuts' can occur
during learning, for example, when there are specific frequencies present in
the image data that correlate with the output predictions. Both high and low
frequencies can be characteristic of the underlying noise distribution caused
by the image acquisition rather than in relation to the task-relevant
information about the …

arxiv dropout feature filtering regularization

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