KO | EN

GitLite

Minimalist Open Source Repository Search Engine

gitlite — search

#developer-tools #codex #typescript #ai-agents #claude-code #dsh #dsh-plugin #cli #deepseek-harness #macos #ai-agent #open-source

Eye_VR_Segmentation

★ 57 Open GitHub ↗

AR/VR Eye Semantic Segmentation - Rank 5th/17 - OpenEDS 2019

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

## 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](https://ieeexplore.ieee.org/document/9022251).
```
@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](https://ieeexplore.ieee.org/document/9143078).
```
@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).

Eye_VR_Segmentation

Explore Similar Repositories

Was this content helpful?

Recent Feedback

Download README