What makes you, you? Analyzing Recognition by Swapping Face Parts. (arXiv:2206.11759v1 [cs.CV])

Web: http://arxiv.org/abs/2206.11759

Deep learning advanced face recognition to an unprecedented accuracy.
However, understanding how local parts of the face affect the overall
recognition performance is still mostly unclear. Among others, face swap has
been experimented to this end, but just for the entire face. In this paper, we
propose to swap facial parts as a way to disentangle the recognition relevance
of different face parts, like eyes, nose and mouth. In our method, swapping
parts from a source face to a target …

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