“Blinks in the Dark”: Blink Estimation With Domain Adversarial Training (BEAT) Network

Author:

Hong Seonghun1,Kim Yonggyu1,Park Taejung2ORCID

Affiliation:

1. Research and Development Team, Seoul, VisualCamp, South Korea

2. Department of Cybersecurity, Duksung Women’s University, Seoul, South Korea

Funder

National Research Foundation of Korea (NRF) Grant

Korea Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Reference63 articles.

1. EyeTab

2. Domain-adversarial training of neural networks;ganin;J Mach Learn Res,2016

3. Faster, Better Blink Detection through Curriculum Learning by Augmentation

4. Real-time facial surface geometry from monocular video on mobile GPUs;kartynnik;arXiv 1907 06724,2019

5. A novel non-intrusive eye gaze estimation using cross-ratio under large head motion

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