Path Reducing Watershed for the GPU
Abstract
The following topics are dealt with: learning (artificial intelligence); feature extraction; feedforward neural nets; image classification; object detection; computer vision; image representation; image segmentation; video signal processing; and image motion analysis.
Cite
Text
Yeghiazaryan and Voiculescu. "Path Reducing Watershed for the GPU." IEEE/CVF Winter Conference on Applications of Computer Vision, 2018. doi:10.1109/WACV.2018.00069Markdown
[Yeghiazaryan and Voiculescu. "Path Reducing Watershed for the GPU." IEEE/CVF Winter Conference on Applications of Computer Vision, 2018.](https://mlanthology.org/wacv/2018/yeghiazaryan2018wacv-path/) doi:10.1109/WACV.2018.00069BibTeX
@inproceedings{yeghiazaryan2018wacv-path,
title = {{Path Reducing Watershed for the GPU}},
author = {Yeghiazaryan, Varduhi and Voiculescu, Irina},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
year = {2018},
pages = {577-585},
doi = {10.1109/WACV.2018.00069},
url = {https://mlanthology.org/wacv/2018/yeghiazaryan2018wacv-path/}
}