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 Deep Face Recognition
methods which cannot be described in detail here (see for example the references in [15] for an overview). This work is concerned mainly with deep architectures for face recognition. The defining characteristic of such methods is the use of a CNN feature extractor, a learnable function obtained by composing several linear and non-linear operators.
Pushing the boundaries of Face Recognition systems ...
Pushing the boundaries of Face Recognition systems ... It's clear that the new CNN-based method is able to improve recall and give more assertive recognition in terms of confidence values ...
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