Face Recognition Vendor Test (FRVT) Performance of Face Identification Algorithms NIST IR 8009
By Patrick Grother, Mei Ngan. 2014
155 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
- Ramalingam Chellappa
- Vishal M. Patel
- Luc Van Gool
- Ming-Hsuan Yang
- Dacheng Tao
- Xiaogang Wang
- Trevor Darrell
- Andrew Zisserman
In Evaluation & Benchmarks
- Ramalingam Chellappa
- Vishal M. Patel
- Dora Zhao
- Olga Russakovsky
- Jun-Cheng Chen
- Angelina Wang
- Vittorio Ferrari
- Andrea Vedaldi
Citations in the corpus
- Understanding and Evaluating Racial Biases in Image Captioning (2021, background): “, speech recognition [44], facial recognition [28], pedestrian detection [73]); here we expand this work to studying racial biases in image captioning.”
- Unconstrained face verification using deep CNN features (2015, methodology): “The COTS1 and GOTS baselines provided by JANUS CS2 are the top performers from the most recent NIST FRVT study [11].”