Towards Reliable Evaluation and Fast Training of Robust Semantic
Segmentation Models

Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models

22 June 2023

Francesco Croce

Matthias Hein

Papers citing "Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models"

5 / 5 papers shown

Title
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition Xiao-Li Li Yining Liu Na Dong Sitian Qin Xiaolin Hu 34 3 0 15 Jul 2024
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 181 257 0 10 Nov 2021
Mind the box: $l_1$ -APGD for sparse adversarial attacks on image classifiers Francesco Croce Matthias Hein AAML 40 54 0 01 Mar 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 217 675 0 19 Oct 2020
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 249 1,824 0 18 Aug 2016