We propose a new, active deep learning method to estimate oil palm density at scale of from Sentinel-2 satellite images, and apply it to generate complete maps for Malaysia and Indonesia.
We propose a scheme that uses privileged information, in the form of keypoint annotations for the training data, to learn strong models from small and/or biased training sets.