SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness

Author:

Gu Jindong,Zhao Hengshuang,Tresp Volker,Torr Philip H. S.

Publisher

Springer Nature Switzerland

Reference57 articles.

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4. Bar, A., et al.: The vulnerability of semantic segmentation networks to adversarial attacks in autonomous driving: Enhancing extensive environment sensing. IEEE Signal Process. Mag. 38(1), 42–52 (2020)

5. Cai, Q.Z., Du, M., Liu, C., Song, D.: Curriculum adversarial training. In: IJCAI (2018)

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