RGB+Depth Anomaly Detection and Segmentation
2 papers with code • 0 benchmarks • 0 datasets
RGB+Depth Anomaly Detection and Segmentation
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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.
An Empirical Investigation of 3D Anomaly Detection and Segmentation
As the 3D-only method cannot detect color and texture anomalies, we combine it with 2D color features, granting us the best current results by a large margin (Pixel-wise ROCAUC: 99. 2%, PRO: 95. 9% on MVTec 3D-AD).
