Learning When and Where to Zoom with Deep Reinforcement Learning

CVPR 2020 Burak UzkentStefano Ermon

While high resolution images contain semantically more useful information than their lower resolution counterparts, processing them is computationally more expensive, and in some applications, e.g. remote sensing, they can be much more expensive to acquire. For these reasons, it is desirable to develop an automatic method to selectively use high resolution data when necessary while maintaining accuracy and reducing acquisition/run-time cost... (read more)

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