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Found 3 papers, 1 papers with code
Deep Learning Based Object Tracking in Walking Droplet and Granular Intruder Experiments
We present a deep-learning based tracking objects of interest in walking droplet and granular intruder experiments.
Cross-Domain Lossy Compression as Optimal Transport with an Entropy Bottleneck
We study the problem of cross-domain lossy compression where the reconstruction distribution is different from the source distribution in order to account for distributional shift due to processing.
Universal Rate-Distortion-Perception Representations for Lossy Compression
In the context of lossy compression, Blau & Michaeli (2019) adopt a mathematical notion of perceptual quality and define the information rate-distortion-perception function, generalizing the classical rate-distortion tradeoff.
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