Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation

@article{Lee2021AntiAdversariallyMA,
  title={Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation},
  author={Jungbeom Lee and Eunji Kim and Sungroh Yoon},
  journal={2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2021},
  pages={4070-4078}
}
Weakly supervised semantic segmentation produces a pixel-level localization from class labels; but a classifier trained on such labels is likely to restrict its focus to a small discriminative region of the target object. AdvCAM is an attribution map of an image that is manipulated to increase the classification score produced by a classifier. This manipulation is realized in an anti-adversarial manner, which perturbs the original images along pixel gradients in the opposite direction from… 

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