500,000 Images Closer to Eyelid and Pupil Segmentation-Reference-Cited by-同舟云学术

500,000 Images Closer to Eyelid and Pupil Segmentation

Published:2019 Issue: Volume: Page:336-347
ISSN:0302-9743
Container-title:Computer Analysis of Images and Patterns
language:
Short-container-title:

Author:

Fuhl Wolfgang,Rosenstiel Wolfgang,Kasneci Enkelejda

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-29888-3_27

Reference65 articles.

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3. Badrinarayanan, V., Kendall, A., Cipolla, R.: SegNet: a deep convolutional encoder-decoder architecture for image segmentation. arXiv preprint arXiv:1511.00561 (2015)

4. Benitezy, J.T.: Eye-tracking and optokinetic tests: diagnostic significance in peripheral and central vestibular disorders. Laryngoscope 80(6), 834–848 (1970)

5. Boraston, Z., Blakemore, S.J.: The application of eye-tracking technology in the study of autism. J. Physiol. 581(3), 893–898 (2007)

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