Toward Unsupervised 3D Point Cloud Anomaly Detection using Variational Autoencoder

7 April 2023

Papers citing "Toward Unsupervised 3D Point Cloud Anomaly Detection using Variational Autoencoder"

6 / 6 papers shown

Title
Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection Yuqi Cheng Yunkang Cao Dongfang Wang Nong Sang Wenlong Li 34 1 0 12 May 2025
Point Cloud Novelty Detection Based on Latent Representations of a General Feature Extractor Shizuka Akahori S. Iizuka Ken Mawatari Kazuhiro Fukui 3DPC 37 1 0 13 Oct 2024
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples Jianjian Qin Chunzhi Gu Junzhou Yu Chaoxi Zhang 3DPC 29 12 0 31 Oct 2022
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds A. Alliegro Francesco Cappio Borlino Tatiana Tommasi 3DPC 3DV 30 7 0 23 Jul 2022
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud Weijing Shi Ragunathan R. Rajkumar 3DPC 171 738 0 02 Mar 2020
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 14,109 0 02 Dec 2016