RGB+3D Anomaly Detection and Segmentation

3D anomaly detection (AD) is prominent but difficult due to lacking a unified theoretical foundation for preprocessing design. We establish the Fence Theorem, formalizing preprocessing as a dual-objective semantic isolat…

3D Anomaly Detection Anomaly Detection Mathematical Proofs Patch Matching+1

TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection

2023-11-16 · Matic Fučka, Vitjan Zavrtanik, Danijel Skočaj

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 Detection Depth Anomaly Detection and Segmentation RGB+3D Anomaly Detection and Segmentation

Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation

2023-11-02 · Vitjan Zavrtanik, Matej Kristan, Danijel Skočaj

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 Detection Depth Anomaly Detection and Segmentation RGB+3D Anomaly Detection and Segmentation

Multimodal Industrial Anomaly Detection via Hybrid Fusion

2023-03-01 · CVPR 2023 1 · Yue Wang, Jinlong Peng, Jiangning Zhang, Ran Yi 외

2D-based Industrial Anomaly Detection has been widely discussed, however, multimodal industrial anomaly detection based on 3D point clouds and RGB images still has many untouched fields. Existing multimodal industrial an…

3D Anomaly Detection Anomaly Detection Contrastive Learning RGB+3D Anomaly Detection and Segmentation

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

2023-01-27 · ICML 2023 1 · Yu-Min Chu, Chieh Liu, Ting-I Hsieh, Hwann-Tzong Chen 외

We present a shape-guided expert-learning framework to tackle the problem of unsupervised 3D anomaly detection. Our method is established on the effectiveness of two specialized expert models and their synergy to localiz…

3D Anomaly Detection 3D Anomaly Detection and Segmentation Anomaly Detection RGB+3D Anomaly Detection and Segmentation+1

Asymmetric Student-Teacher Networks for Industrial Anomaly Detection

2022-10-14 · Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt

Industrial defect detection is commonly addressed with anomaly detection (AD) methods where no or only incomplete data of potentially occurring defects is available. This work discovers previously unknown problems of stu…

3D Anomaly Detection Anomaly Detection Defect Detection Density Estimation+1

전체 8편 보기 →