Single-Stage Semantic Segmentation From Image Labels

@article{Araslanov2020SingleStageSS,
  title={Single-Stage Semantic Segmentation From Image Labels},
  author={Nikita Araslanov and S. Roth},
  journal={2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2020},
  pages={4252-4261}
}
  • Nikita Araslanov, S. Roth
  • Published 2020
  • Computer Science
  • 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Recent years have seen a rapid growth in new approaches improving the accuracy of semantic segmentation in a weakly supervised setting, i.e. with only image-level labels available for training. However, this has come at the cost of increased model complexity and sophisticated multi-stage training procedures. This is in contrast to earlier work that used only a single stage -- training one segmentation network on image labels -- which was abandoned due to inferior segmentation accuracy. In this… Expand
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