Faster, Better Blink Detection through Curriculum Learning by Augmentation

Author:

Al-Hindawi Ahmed1,Vizcaychipi Marcela2,Demiris Yiannis3

Affiliation:

1. Personal Robotics Laboratory, Imperial College London, United Kingdom and Magill Department of Anaesthesia, Chelsea & Westminster Hospital, United Kingdom

2. Anaesthetics, Pain Medicine and Intensive Care, Imperial College London, United Kingdom and Magill Department of Anaesthesia, Chelsea & Westminster Hospital, United Kingdom

3. Imperial College London, United Kingdom

Publisher

ACM

Reference18 articles.

1. Yoshua Bengio , Jérôme Louradour , Ronan Collobert , and Jason Weston . 2009 . Curriculum Learning. In Proceedings of the 26th Annual International Conference on Machine Learning - ICML ’09 . ACM Press, Montreal, Quebec, Canada, 1–8. https://doi.org/10.1145/1553374.1553380 Yoshua Bengio, Jérôme Louradour, Ronan Collobert, and Jason Weston. 2009. Curriculum Learning. In Proceedings of the 26th Annual International Conference on Machine Learning - ICML ’09. ACM Press, Montreal, Quebec, Canada, 1–8. https://doi.org/10.1145/1553374.1553380

2. Blinking Suppresses the Neural Response to Unchanging Retinal Stimulation

3. RT-BENE: A Dataset and Baselines for Real-Time Blink Estimation in Natural Environments

4. Randaugment: Practical automated data augmentation with a reduced search space

5. Tri Dao , Albert Gu , Alexander Ratner , Virginia Smith , Chris De Sa , and Christopher Re . 2019 . A Kernel Theory of Modern Data Augmentation . In Proceedings of the 36th International Conference on Machine Learning. PMLR, 1528–1537 . Tri Dao, Albert Gu, Alexander Ratner, Virginia Smith, Chris De Sa, and Christopher Re. 2019. A Kernel Theory of Modern Data Augmentation. In Proceedings of the 36th International Conference on Machine Learning. PMLR, 1528–1537.

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