all AI news
Exploring Causes of Demographic Variations In Face Recognition Accuracy. (arXiv:2304.07175v1 [cs.CV])
cs.CV updates on arXiv.org arxiv.org
In recent years, media reports have called out bias and racism in face
recognition technology. We review experimental results exploring several
speculated causes for asymmetric cross-demographic performance. We consider
accuracy differences as represented by variations in non-mated (impostor) and /
or mated (genuine) distributions for 1-to-1 face matching. Possible causes
explored include differences in skin tone, face size and shape, imbalance in
number of identities and images in the training data, and amount of face
visible in the test data …
accuracy arxiv bias data experimental face face recognition images media performance racism recognition reports review technology test training training data