11 citations · 13 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 2 cited
M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising
Chengjie Wang, Haokun Zhu, Jinlong Peng +5
Existing industrial anomaly detection methods primarily concentrate on unsupervised learning with pristine RGB images. Yet, both RGB and 3D data are crucial for anomaly detection,…
cs.CV2023★ 11 cited
Multimodal Industrial Anomaly Detection via Hybrid Fusion
Yue Wang, Jinlong Peng, Jiangning Zhang +3
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 f…