Flow AM: Generating Point Cloud Global Explanations by Latent Alignment

arXiv:2404.18760v1 Announce Type: new
Abstract: Although point cloud models have gained significant improvements in prediction accuracy over recent years, their trustworthiness is still not sufficiently investigated. In terms of global explainability, Activation Maximization (AM) techniques in the image domain are not directly transplantable due to the special structure of the point cloud models. Existing studies exploit generative models to yield global explanations that can be perceived by humans. However, the opacity of the generative models themselves and the introduction of …

alignment arxiv cloud cs.cv flow global type