Explaining Deep Neural Networks for Point Clouds using Gradient-based Visualisations

26 July 2022

Papers citing "Explaining Deep Neural Networks for Point Clouds using Gradient-based Visualisations"

4 / 4 papers shown

Title
Interpretable Affordance Detection on 3D Point Clouds with Probabilistic Prototypes M. Li Korbinian Franz Rudolf Nils Blank Rudolf Lioutikov 3DPC 44 0 0 25 Apr 2025
Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence Zhan Qu Shuzhou Yuan Michael Färber Marius Brennfleck Niklas Wartha Anton Stephan 3DPC 41 0 0 01 Mar 2025
ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformers Ioannis Romanelis Vlassis Fotis Konstantinos Moustakas Adrian Munteanu ViT 3DPC 28 4 0 19 Jun 2023
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,136 0 02 Dec 2016