A new XAI method for point cloud classification uses semantic segmentation to define meaningful perturbation regions and a point-shifting mechanism to compute saliency maps.
Recent advancements in learning algorithms for point clouds: An updated overview
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XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation
A new XAI method for point cloud classification uses semantic segmentation to define meaningful perturbation regions and a point-shifting mechanism to compute saliency maps.