Multi-task low-rank affinity pursuit for image segmentation

@article{Cheng2011MultitaskLA,
  title={Multi-task low-rank affinity pursuit for image segmentation},
  author={Bin Cheng and Guangcan Liu and Jingdong Wang and ZhongYang Huang and Shuicheng Yan},
  journal={2011 International Conference on Computer Vision},
  year={2011},
  pages={2439-2446}
}
This paper investigates how to boost region-based image segmentation by pursuing a new solution to fuse multiple types of image features. A collaborative image segmentation framework, called multi-task low-rank affinity pursuit, is presented for such a purpose. Given an image described with multiple types of features, we aim at inferring a unified affinity matrix that implicitly encodes the segmentation of the image. This is achieved by seeking the sparsity-consistent low-rank affinities from… CONTINUE READING
Highly Cited
This paper has 206 citations. REVIEW CITATIONS

4 Figures & Tables

Topics

Statistics

02040602012201320142015201620172018
Citations per Year

207 Citations

Semantic Scholar estimates that this publication has 207 citations based on the available data.

See our FAQ for additional information.