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Homography Estimation with Convolutional Neural Networks Under Conditions of Variance
About the CNNs trained with noise-corrupted inputs, we show that training a CNN to a specific magnitude of noise leads to a "Goldilocks Zone" with regard to the noise levels where that CNN performs best.
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