Everyone loves to be outdoors in the summer, and nobody can argue that Mother Nature is the world’s greatest artist.

Abstract: In remote sensing image classification, active learning aims to learn a good classifier as best as possible by choosing the most valuable (informative and representative) training samples.

Abstract: Supervised deep learning often suffers from the lack of sufficient training data. Specifically in the context of monocular depth map prediction, it is barely possible to determine dense ...