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Found 3 papers, 1 papers with code
Exploring Wilderness Characteristics Using Explainable Machine Learning in Satellite Imagery
Occluding certain activations in an interpretable artificial neural network we complete a comprehensive sensitivity analysis regarding wild and anthropogenic characteristics.
Behind the leaves -- Estimation of occluded grapevine berries with conditional generative adversarial networks
In this article, we present a method that addresses the challenge of occluded berries with leaves to obtain a more accurate estimate of the number of berries that will enable a better estimate of the harvest.
Artificial and beneficial -- Exploiting artificial images for aerial vehicle detection
One of the most prominent applications is the detection of vehicles, for which deep learning approaches are increasingly used.
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