A State-of-the-Art Computer Vision Adopting Non-Euclidean Deep-Learning Models
Sakib H. Chowdhury,
Md. Robius Sany,
Md. Hafiz Ahamed
et al.
Abstract:A distance metric known as non-Euclidean distance deviates from the laws of Euclidean geometry, which is the geometry that governs most physical spaces. It is utilized when Euclidean distance is inappropriate, for as when dealing with curved surfaces or spaces with complex topologies. The ability to apply deep learning techniques to non-Euclidean domains including graphs, manifolds, and point clouds is made possible by non-Euclidean deep learning. The use of non-Euclidean deep learning is rapidly expanding to … Show more
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