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Found 4 papers, 3 papers with code
Craquelure as a Graph: Application of Image Processing and Graph Neural Networks to the Description of Fracture Patterns
We illustrate benefits from the graph representation and statistical features individually using novel Graph Neural Network and hand-crafted descriptors correspondingly.
Deep Hyperspectral Prior: Denoising, Inpainting, Super-Resolution
Deep learning algorithms have demonstrated state-of-the-art performance in various tasks of image restoration.
Ranked #1 on
Hyperspectral Image Inpainting
on Indian Pines
Ensemble of Convolutional Neural Networks for Dermoscopic Images Classification
In this report, we are presenting our automated prediction system for disease classification within dermoscopic images.
A bag-to-class divergence approach to multiple-instance learning
A different viewpoint is that the instances are realisations of random vectors with corresponding probability distribution, and that a bag is the distribution, not the realisations.
