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Found 5 papers, 1 papers with code
Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding
Hence, we provide conditions, in terms of the network width and the number of training samples, on these unfolded networks for the PL$^*$ condition to hold.
Mixed X-Ray Image Separation for Artworks with Concealed Designs
In this paper, we focus on X-ray images of paintings with concealed sub-surface designs (e. g., deriving from reuse of the painting support or revision of a composition by the artist), which include contributions from both the surface painting and the concealed features.
Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover
In this paper, we consider deep neural networks for solving inverse problems that are robust to forward model mis-specifications.
SBEVNet: End-to-End Deep Stereo Layout Estimation
Instead, the learning of a good internal bird's eye view feature representation is effective for layout estimation.
Image Separation with Side Information: A Connected Auto-Encoders Based Approach
These features are then used to (1) reproduce both of the original RGB images, (2) reconstruct the hypothetical separated X-ray images, and (3) regenerate the mixed X-ray image.
