Credits#

Support#

The easiest way to get support is to open an issue on GitHub .

Citation#

@software{Birskus_Glasses_Detector_2024,
    author = {Birškus, Mantas},
    title = {{Glasses Detector}},
    license = {MIT},
    url = {https://github.com/mantasu/glasses-detector},
    month = {3},
    year = {2024},
    doi = {10.5281/zenodo.8126101}
}

References#

[1]

Ningning Ma, Xiangyu Zhang, Hai-Tao Zheng, and Jian Sun. Shufflenet v2: practical guidelines for efficient cnn architecture design. In Proceedings of the European Conference on Computer Vision (ECCV), 116–131. 2018.

[2]

Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg. Ssd: single shot multibox detector. In Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part I 14, 21–37. Springer, 2016.

[3]

Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, and others. Searching for mobilenetv3. In Proceedings of the IEEE/CVF International Conference on Computer Vision, 1314–1324. 2019.

[4]

Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. Faster r-cnn: towards real-time object detection with region proposal networks. Advances in Neural Information Processing Systems, 2015.

[5]

Jonathan Long, Evan Shelhamer, and Trevor Darrell. Fully convolutional networks for semantic segmentation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 3431–3440. 2015.

[6]

Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. Deep residual learning for image recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 770–778. 2016.