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Second-order networks in PyTorch

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Academic year: 2021

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Figure

Fig. 1. Illustration of a generic SPD neural network. Successive bilinear layers followed by activations build a feature SPD manifold, which is then transformed to a Euclidean space to allow for classification.
Fig. 2. Illustration of manifold-constrained gradient update. The Euclidean gradient is projected to the tangent space, then mapped to the manifold.

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