Depth Anomaly Detection and Segmentation
4 papers with code • 1 benchmarks • 1 datasets
Depth-only Anomaly Detection and Segmentation
Most implemented papers
The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization
We introduce the first comprehensive 3D dataset for the task of unsupervised anomaly detection and localization.
Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
The 3D and 2D modality features are aggregated to obtain the CPMF for PCD anomaly detection.
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection
We utilize a recently introduced 3D anomaly detection dataset to evaluate whether or not using 3D information is a lost opportunity.
Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation
(ii) We tackle the lack of diverse industrial depth datasets by introducing a simulation process for learning informative depth features in the depth encoder.