Corpus ID: 236469347

Surrogate Model-Based Explainability Methods for Point Cloud NNs

@article{Tan2021SurrogateME,
  title={Surrogate Model-Based Explainability Methods for Point Cloud NNs},
  author={Hanxiao Tan and Helena Kotthaus},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.13459}
}
In the field of autonomous driving and robotics, point clouds are showing their excellent real-time performance as raw data from most of the mainstream 3D sensors. Therefore, point cloud neural networks have become a popular research direction in recent years. So far, however, there has been little discussion about the explainability of deep neural networks for point clouds. In this paper, we propose a point cloud-applicable explainability approach based on local surrogate model-based method to… Expand

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