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Python Implementation of the paper : Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations.

License: Apache License 2.0

Python 100.00%
image-augmentation image-augmentation-preprocessing image-corruption image-corruptions imagecorruption unseen-perturbations

imagecorruptions's Introduction

Hi there 👋 I'm Aaron Wu! You can also call me Allenpandas🐼.

I am a Ph.D. student in Beijing Jiaotong University.

Currently, my research has centered on:

  • Safety Testing: testing and evaluation for autonomous driving algorithms, modules, and systems.
  • Data Augmentation: image or video generation, especially focus on generative data augmentation (GDA) in autonomous driving scenarios.
  • CPS/IoT Security: attacks and defenses against the physical world, sensors, algorithms and automonous driving systems.
  • Reinforcement Learning: safety reinforcement learning (SRL), robustness reinforcement learning and offline reinforcement learning for autonomous driving systems.

imagecorruptions's People

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