Depth Anomaly Detection and Segmentation
1개 벤치마크 · 논문 5편 · 이 태스크의 논문 보기 →
Benchmarks
MVTEC 3D-AD
Most implemented
Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation
Papers
TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
Surface anomaly detection is a vital component in manufacturing inspection. Current discriminative methods follow a two-stage architecture composed of a reconstructive network followed by a discriminative network that re…
Anomaly DetectionDepth Anomaly Detection and SegmentationRGB+3D Anomaly Detection and SegmentationCheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation
RGB-based surface anomaly detection methods have advanced significantly. However, certain surface anomalies remain practically invisible in RGB alone, necessitating the incorporation of 3D information. Existing approache…
Anomaly DetectionDepth Anomaly Detection and SegmentationRGB+3D Anomaly Detection and SegmentationComplementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
Point cloud (PCD) anomaly detection steadily emerges as a promising research area. This study aims to improve PCD anomaly detection performance by combining handcrafted PCD descriptions with powerful pre-trained 2D neura…
3D Anomaly Detection and SegmentationAnomaly DetectionDepth Anomaly Detection and SegmentationBack to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection
Despite significant advances in image anomaly detection and segmentation, few methods use 3D information. We utilize a recently introduced 3D anomaly detection dataset to evaluate whether or not using 3D information is a…
3D Anomaly Detection3D Anomaly Detection and SegmentationAllAnomaly Detection+3The 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. It is inspired by real-world visual inspection scenarios in which a model has to detect various types of de…
3D Anomaly Detection and SegmentationAnomaly DetectionDepth Anomaly Detection and SegmentationObject+3