Unconstrained Face Detection and Open-Set Face Recognition Challenge

@article{Gnther2017UnconstrainedFD,
  title={Unconstrained Face Detection and Open-Set Face Recognition Challenge},
  author={M. G{\"u}nther and Peiyun Hu and C. Herrmann and Chi-Ho Chan and Min Jiang and Shunchuang Yang and Akshay Raj Dhamija and D. Ramanan and J. Beyerer and J. Kittler and Mohamad Al Jazaery and Mohammad Iqbal Nouyed and Guodong Guo and Cezary Stankiewicz and T. Boult},
  journal={2017 IEEE International Joint Conference on Biometrics (IJCB)},
  year={2017},
  pages={697-706}
}
  • M. Günther, Peiyun Hu, +12 authors T. Boult
  • Published 2017
  • Computer Science, Economics
  • 2017 IEEE International Joint Conference on Biometrics (IJCB)
  • Face detection and recognition benchmarks have shifted toward more difficult environments. [...] Key Result By contrast, open-set face recognition is currently weak and requires much more attention.Expand Abstract
    Surveillance Face Recognition Challenge
    • 16
    • Highly Influenced
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    Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results
    • 25
    • PDF
    Face Detection on Surveillance Images
    Low-Resolution Face Recognition in the Wild via Selective Knowledge Distillation
    • 35
    • Highly Influenced
    • PDF
    Cross-Resolution Learning for Face Recognition
    • 4
    • PDF
    IARPA Janus Benchmark Multi-Domain Face
    • 1

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