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Xiaochen Quan

1 accepted papers

2026

Omni-AD: A Large-scale and Versatile Benchmark for Industrial Anomaly Detection

CVPR 2026

Industrial Anomaly Detection (IAD) has attracted significant attention and witnessed rapid development. However, the advancement in this field is hindered by two key issues: the performance saturation of existing benchmarks, limiting discriminative evaluation of different IAD methods, and the absenc

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