Surrogate Model-Based Explainability Methods for Point Cloud NNs

28 July 2021

Papers citing "Surrogate Model-Based Explainability Methods for Point Cloud NNs"

6 / 6 papers shown

Title
PointExplainer: Towards Transparent Parkinson's Disease Diagnosis Xuechao Wang S. Nõmm Junqing Huang Kadri Medijainen A. Toomela Michael Ruzhansky AAML FAtt 26 0 0 04 May 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 34 0 0 01 Mar 2025
Flow AM: Generating Point Cloud Global Explanations by Latent Alignment Hanxiao Tan 37 1 0 29 Apr 2024
Maximum Entropy Baseline for Integrated Gradients Hanxiao Tan FAtt 16 4 0 12 Apr 2022
Visualizing Global Explanations of Point Cloud DNNs Hanxiao Tan 3DPC 40 7 0 17 Mar 2022
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 14,099 0 02 Dec 2016