Papers with Code · CC BY-SA 4.0

3D Anomaly Detection and Segmentation

Anomaly Detection › 3D Anomaly Detection and Segmentation 12 평가 기록 2 datasets

3D-Only Anomaly Detection and Segmentation

논문

Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection

2303.13194 2023-03-23 이 페이지의 평가 3건

Detection AUROC: 0.9515Segmentation AUROC: 0.9781

The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

2112.09045 2021-12-16 이 페이지의 평가 3건

Detection AUROC: 0.699

0-1 laws for pattern occurrences in phylogenetic trees and networks

2402.04499 2024-02-07 이 페이지의 평가 1건

0-shot MRR: 10

Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors

2202.11660 2022-02-23 이 페이지의 평가 1건

2022-02-23

Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection

2203.05550 2022-03-10 이 페이지의 평가 1건

Detection AUROC: 0.782Segmentation AUROC: 0.978

Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection

2025-02-21 이 페이지의 평가 1건

Detection AUROC: 0.944Segmentation AUROC: 0.979

Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection

2505.05901 2025-05-09 이 페이지의 평가 1건

Detection AUROC: 0.954Segmentation AUROC: 0.946

Shape-Guided: Shape-Guided Dual-Memory Learning for 3D Anomaly Detection

2023-01-27 이 페이지의 평가 1건

Detection AUROC: 0.916Segmentation AUROC: 0.978