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Found 4 papers, 1 papers with code
Deep Learning Hyperspectral Pansharpening on large scale PRISMA dataset
Second, we adapted several state of the art approaches based on deep learning to fit PRISMA hyperspectral data and then assessed, quantitatively and qualitatively, the performance in this new scenario.
Shallow camera pipeline for night photography rendering
We introduce a camera pipeline for rendering visually pleasing photographs in low light conditions, as part of the NTIRE2022 Night Photography Rendering challenge.
Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training
The data augmentations used are of crucial importance to the quality of learned feature representations.
Deep Residual Autoencoder for quality independent JPEG restoration
This results is remarkable since the approaches in the state of the art use a different set of weights for each compression quality, while the proposed model uses the same weights for all of them, making it applicable to images in the wild where the QF used for compression is unkwnown.
