XAI for Point Cloud Data Using Perturbations Based on Meaningful Segmentation

In this work, we propose a novel segmentation-based explainable artificial intelligence (XAI) method for neural networks working on point cloud classification. As one building block of this method, we also propose a novel point-shifting mechanism to introduce perturbations in point cloud data. In th...

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Bibliographic Details
Main Authors: Raju Ningappa Mulawade, Christoph Garth, Alexander Wiebel
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/11121187/
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