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.2004.120

Markdown

[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.2004.120

BibTeX

@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/}
}