[Remote Sensing] PyTorch implementation for "Remote Sensing Change Detection Based on Multidirectional Adaptive Feature Fusion and Perceptual Similarity"
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Updated
Oct 4, 2022 - Python
[Remote Sensing] PyTorch implementation for "Remote Sensing Change Detection Based on Multidirectional Adaptive Feature Fusion and Perceptual Similarity"
Predicting gradient (of perceptual loss) without doing a backward pass
Shiu, Jia-Yin's Master Thesis Project: A super-resolution framework for license plate recognition based on deep learning
Implement a Generative Adversarial Network which is able to frontalize faces from the pose invariant features learned in our proposed pose attention guided profile to frontal network for extreme profile faces
Synthetic CT generation from NAC PET for PET/MR reconstrunction and attenuation correction
Grayscale image colorization using a U-Net CNN (with VGG-19) and perceptual loss.
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