Disguised Face Verification

2 papers with code • 2 benchmarks • 2 datasets

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Most implemented papers

FaceNet: A Unified Embedding for Face Recognition and Clustering

davidsandberg/facenet CVPR 2015

On the widely used Labeled Faces in the Wild (LFW) dataset, our system achieves a new record accuracy of 99. 63%.

DisguiseNet : A Contrastive Approach for Disguised Face Verification in the Wild

pvskand/DisguiseNet 25 Apr 2018

The experiments show the effectiveness of the approach on the DFW data.