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For paper "PointCloud Saliency Maps" (ICCV 2019 oral presentation, Acceptance Rate: 4.3%)

Python 86.59% Shell 1.07% C++ 7.40% Cuda 4.95%

pointcloud-saliency-maps's Introduction

For paper "PointCloud Saliency Maps" (To appear in ICCV 2019 oral presentation, 187 out of 4303)

In the folder "point-master", we provide the code for testing our method on PointNet. The code is written based on the code from (PointNet https://github.com/charlesq34/pointnet)

Please first refer to https://github.com/charlesq34/pointnet to find how to train and evaluate a ModelNet40 model. Afterwards, run saliency.py to attack the model.

Code for testing other data and model will come soon in a week.

If there is any question, pls contact [email protected]

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