The Spherical Sliced Wasserstein (SSW) distance has emerged as a fundamental tool for comparing probability measures on the hypersphere, with broad applications spanning geology, medical imaging, computer vision, and representation learning. However, its reliance on uniformly sampling a large number of projection direc...
Hong-Liang Zhang, Jian-Jun Qian, Lei Luo et al.· Proceedings of the Thirty-Fi...· 0 citations
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