3D Point Cloud Adversarial Sample Classification Algorithm Based on Self-Supervised Learning and Information Gain

3D Point Cloud Adversarial Sample Classification Algorithm Based on Self-Supervised Learning and Information Gain

The advancement of computing power has facilitated the development of three-dimensional point cloud neural networks, and the issue of adversarial samples in point clouds has garnered increasing attention. However, Current adversarial training methods often result in reduced classification effectiven...

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Bibliographic Details
Main Authors: Ning Sun, Boqiang Jin, Jielong Guo, Jianzhang Zheng, Dongheng Shao, Jianfeng Zhang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Deep neural networks
adversarial samples
3D point cloud classification
self-supervised learning
information gain
Online Access:https://ieeexplore.ieee.org/document/10292605/

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