MSNet: A Deep Multi-scale Submanifold Network for Visual Classification. (arXiv:2201.10145v1 [cs.CV])

Web: http://arxiv.org/abs/2201.10145

The Symmetric Positive Definite (SPD) matrix has received wide attention as a
tool for visual data representation in computer vision. Although there are many
different attempts to develop effective deep architectures for data processing
on the Riemannian manifold of SPD matrices, a very few solutions explicitly
mine the local geometrical information in deep SPD feature representations.
While CNNs have demonstrated the potential of hierarchical local pattern
extraction even for SPD represented data, we argue that it is of utmost
importance …

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