Towards Practical Robustness Improvement for Object Detection in Safety-Critical Scenarios

Author:

Hu ZhishengORCID,Zhong ZhenyuORCID

Publisher

Springer International Publishing

Reference27 articles.

1. Baidu: Baidu apollo. https://github.com/ApolloAuto/apollo

2. Bojarski, M., et al.: End to end learning for self-driving cars. arXiv e-prints arXiv:1604.07316, April 2016

3. Boudette, N.E., Vlasic, B.: Tesla self-driving system faulted by safety agency in crash. https://www.nytimes.com/2017/09/12/business/self-driving-cars.html

4. Cai, Z., Vasconcelos, N.: Cascade R-CNN: delving into high quality object detection. arXiv e-prints arXiv:1712.00726, December 2017

5. Carlini, N., Wagner, D.: Towards evaluating the robustness of neural networks. In: 2017 IEEE Symposium on Security and Privacy (SP), pp. 39–57. IEEE (2017)

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