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Found 3 papers, 1 papers with code
Fine-grained Species Recognition with Privileged Pooling: Better Sample Efficiency Through Supervised Attention
We propose a scheme for supervised image classification 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.
Counting the uncountable: deep semantic density estimation from Space
This task is hard due to the cluttered nature of scenes where different object categories occur.
Fast cosmic web simulations with generative adversarial networks
Computational models of the underlying physical processes, such as classical N-body simulations, are extremely resource intensive, as they track the action of gravity in an expanding universe using billions of particles as tracers of the cosmic matter distribution.
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