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Found 2 papers, 2 papers with code
Self2Self+: Single-Image Denoising with Self-Supervised Learning and Image Quality Assessment Loss
To improve the feasibility of denoising procedures, in this study, we proposed a single-image self-supervised learning method in which only the noisy input image is used for network training.
SAR Image Despeckling Using Continuous Attention Module
Although this architecture extracts features on different scales and has been shown to yield state-of-the-art performance, it still learns representation locally, resulting in missing overall information of convolutional features.
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