7 citations · 9 across the 2 of their papers we have counts for
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cs.CV2022★ 2 cited
MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection
Tianpeng Bao, Jiadong Chen, Wei Li +5
Visual anomaly detection plays a crucial role in not only manufacturing inspection to find defects of products during manufacturing processes, but also maintenance inspection to ke…
cs.CV2022★ 7 cited
Benchmarking Unsupervised Anomaly Detection and Localization
Ye Zheng, Xiang Wang, Yu Qi +2
Unsupervised anomaly detection and localization, as of one the most practical and challenging problems in computer vision, has received great attention in recent years. From the ti…