HyDeS introduces hyperspherical density shaping with a von Mises-Fisher estimator to create theoretically grounded self-supervised representations that focus on foreground features.
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Self-Supervised Representation Learning via Hyperspherical Density Shaping
HyDeS introduces hyperspherical density shaping with a von Mises-Fisher estimator to create theoretically grounded self-supervised representations that focus on foreground features.