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Improving Facial Emotion Recognition Systems Using Gradient and Laplacian Images
These modifications help the network learn additional information from the gradient and Laplacian of the images.
MSCE: An edge preserving robust loss function for improving super-resolution algorithms
With the recent advancement in the deep learning technologies such as CNNs and GANs, there is significant improvement in the quality of the images reconstructed by deep learning based super-resolution (SR) techniques.
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