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Found 5 papers, 1 papers with code
A Variational Approach for Joint Image Recovery and Feature Extraction Based on Spatially-Varying Generalised Gaussian Models
The joint problem of reconstruction / feature extraction is a challenging task in image processing.
Case-based reasoning for rare events prediction on strategic sites
Satellite imagery is now widely used in the defense sector for monitoring locations of interest.
Improving performance of aircraft detection in satellite imagery while limiting the labelling effort: Hybrid active learning
In the defense domain, aircraft detection on satellite imagery is a valuable tool for analysts.
Active learning for object detection in high-resolution satellite images
In machine learning, the term active learning regroups techniques that aim at selecting the most useful data to label from a large pool of unlabelled examples.
Deep Unfolding of a Proximal Interior Point Method for Image Restoration
Variational methods are widely applied to ill-posed inverse problems for they have the ability to embed prior knowledge about the solution.
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