Grouping with Bias Revisited
Abstract
In this paper, we improve and tailor a recent statistical region merging approach to biased (partially supervised) grouping. The approach appears to be attractive both for its theoretical benefits and its experimental results, as light bias brings dramatic improvements over unbiased approaches on difficult pictures. Comparisons with another biased grouping algorithm display very favorable results.
Cite
Text
Nock and Nielsen. "Grouping with Bias Revisited." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004. doi:10.1109/CVPR.2004.120Markdown
[Nock and Nielsen. "Grouping with Bias Revisited." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004.](https://mlanthology.org/cvpr/2004/nock2004cvpr-grouping/) doi:10.1109/CVPR.2004.120BibTeX
@inproceedings{nock2004cvpr-grouping,
title = {{Grouping with Bias Revisited}},
author = {Nock, Richard and Nielsen, Frank},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2004},
pages = {460-465},
doi = {10.1109/CVPR.2004.120},
url = {https://mlanthology.org/cvpr/2004/nock2004cvpr-grouping/}
}