Face Recognition Vendor Test (FRVT) part 2 :: identification

By Patrick Grother, Mei Ngan, Kayee K. Hanaoka. 2019

85 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Evaluation & Benchmarks

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Meredith Ringel Morris
2. Ece Kamar
3. Hanna M. Wallach
4. Anhong Guo
5. Solon Barocas
6. Jennifer Wortman Vaughan

In Evaluation & Benchmarks

1. Jennifer Wortman Vaughan
2. Ece Kamar
3. Hanna M. Wallach
4. Solon Barocas

Citations in the corpus

• Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs (2021, background): “like false positive and false negative rates using evaluation datasets that are comprised of front-facing mugshots, side-view images, webcam images, and images taken by photo journalists and amateur photographers [33, 34].”
• AdvHat: Real-World Adversarial Attack on ArcFace Face ID System (2019, unknown): “For example, the ArcFace (Insightface) solution is comparable with Microsoft and Google models in such challenges as Megaface [11, 12], NIST FRVT [13], and Trillion Pairs [14].”