A weighted, layer-wise annealed dropout applied at intermediate layers of blind super-resolution networks improves generalization on unseen degradations over prior regularization methods.
Blind super-resolution kernel estimation using an internal-gan.Ad- vances in Neural Information Processing Systems, 32, 2019
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Adaptive Dropout: Unleashing Dropout across Layers for Generalizable Image Super-Resolution
A weighted, layer-wise annealed dropout applied at intermediate layers of blind super-resolution networks improves generalization on unseen degradations over prior regularization methods.