Generating Object Segmentation Proposals Using Global and Local Search

@article{Rantalankila2014GeneratingOS,
  title={Generating Object Segmentation Proposals Using Global and Local Search},
  author={Pekka Rantalankila and Juho Kannala and Esa Rahtu},
  journal={2014 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2014},
  pages={2417-2424}
}
We present a method for generating object segmentation proposals from groups of superpixels. The goal is to propose accurate segmentations for all objects of an image. The proposed object hypotheses can be used as input to object detection systems and thereby improve efficiency by replacing exhaustive search. The segmentations are generated in a class… CONTINUE READING

8 Figures & Tables

Topics

Statistics

0204020142015201620172018
Citations per Year

136 Citations

Semantic Scholar estimates that this publication has 136 citations based on the available data.

See our FAQ for additional information.