Eye Semantic Segmentation with a Lightweight Model
AR/VR Eye Semantic Segmentation with Open Eye Dataset [1] in OpenEDS Semantic Segmentation Challenge 2019.
- Best mIoU: 0.9491
- Number of trainable parameters: 104728
V. T. Huynh, S. Kim, G. Lee and H. Yang, "Eye Semantic Segmentation with A Lightweight Model," 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), Seoul, Korea (South), 2019, pp. 3694-3697, doi: 10.1109/ICCVW.2019.00457.
@INPROCEEDINGS{9022251,
author={V. T. {Huynh} and S. {Kim} and G. {Lee} and H. {Yang}},
booktitle={2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)},
title={Eye Semantic Segmentation with A Lightweight Model},
year={2019},
pages={3694-3697},
}
V. T. Huynh, H. Yang, G. Lee and S. Kim, "Semantic Segmentation of the Eye With a Lightweight Deep Network and Shape Correction," in IEEE Access, vol. 8, pp. 131967-131974, 2020, doi: 10.1109/ACCESS.2020.3010011.
@ARTICLE{9143078,
author={V. T. {Huynh} and H. {Yang} and G. {Lee} and S. {Kim}},
journal={IEEE Access},
title={Semantic Segmentation of the Eye With a Lightweight Deep Network and Shape Correction},
year={2020},
volume={8},
pages={131967-131974},
}
[1] Garbin, Stephan J., Yiru Shen, Immo Schuetz, Robert Cavin, Gregory Hughes, and Sachin S. Talathi. "OpenEDS: Open Eye Dataset." arXiv preprint arXiv:1905.03702 (2019).