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Exploring to learn visual saliency: The RL-IAC approach
On the other hand, we investigate an autonomous exploration technique to efficiently learn such a saliency model.
Evaluation of generative networks through their data augmentation capacity
This mixture of real and generated data is thus used to train a classifier which is afterwards tested on a given labeled test dataset.
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