most citedTowards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network

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cs.CV2024

Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties

Wenqiao Li, Bozhong Zheng, Xiaohao Xu +8

Object anomaly detection is essential for industrial quality inspection, yet traditional single-sensor methods face critical limitations. They fail to capture the wide range of ano…

cs.CV2023★ 1 cited

Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network

Wenqiao Li, Xiaohao Xu, Yao Gu +3

Recently, 3D anomaly detection, a crucial problem involving fine-grained geometry discrimination, is getting more attention. However, the lack of abundant real 3D anomaly data limi…