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Canonical Face Embeddings
When instead evaluating embeddings generated from two CNNs, where one CNN's embeddings are mapped with a linear transformation, the mean true accept rate drops to 0. 95 using the same verification paradigm.
Locally Linear Attributes of ReLU Neural Networks
The weights in the neural network determine a decomposition of the input space into convex polytopes and on each of these polytopes the network can be described by a single affine mapping.
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