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项目作者： CSY-tvgo

项目描述 ：
Classification, Object Detection and Adversarial Attack of Chinese Traffic Signs
高级语言： Jupyter Notebook
项目地址: git://github.com/CSY-tvgo/Adversarial-Traffic-Signs.git
创建时间： 2020-04-30T20:52:11Z
项目社区：https://github.com/CSY-tvgo/Adversarial-Traffic-Signs
开源协议：
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Adversarial-Traffic-Signs

Supplementary Material: Click this Dropbox link to download. It contains 3 files and you can place them into corresponding directories to run the code.

Contents

  • 1.CTSRD_Classification: Train a Chinese traffic sign classification model using CTSRD Dataset. It uses ResNet101 in Keras.
  • 2.DARTS-Attack-on-CTSRD: Modified DARTS pipeline, it can generate adversarial Chinese traffic signs.
  • 3.TT100K_ObjectDetection: Using an object detection model pre-trained by TT100K Dataset to do test of adversarial traffic signs in real world. It uses Faster R-CNN-ResNet101 in TensorFlow Object Detection API.
  • 4.Examples of Adversarial Traffic Signs: Some examples.

Acknowledgement

This project is what I do in my thesis of B.Eng. in Electronic and Information Engineering.
I appreciate support from VeriMake, issues are also welcome on VeriMake BBS (in Chinese).

Reference