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Mapping Oil Palm Density at Country Scale: an Active Learning Approach / in review

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.

Privileged Pooling: Better Sample Efficiency Through Supervised Attention / in review

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.