Corpus ID: 235593431

Fast and Reliable Probabilistic Face Embeddings in the Wild

  title={Fast and Reliable Probabilistic Face Embeddings in the Wild},
  author={Kai Chen and Qi Lv and Taihe Yi},
  • Kai Chen, Qi Lv, Taihe Yi
  • Published 8 February 2021
  • Computer Science
Probabilistic Face Embeddings (PFE) can improve face recognition performance in unconstrained scenarios by integrating data uncertainty into the feature representation. However, existing PFE methods tend to be over-confident in estimating uncertainty and is too slow to apply to large-scale face matching. This paper proposes a regularized probabilistic face embedding method to improve the robustness and speed of PFE. Specifically, the mutual likelihood score (MLS) metric used in PFE is… Expand
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