With the increasing prevalence of 3D sensors in industrial settings [ 3 ] and the release of the MVTec 3D-AD dataset [ 4 ], multimodal defect detection has emerged as an important trend that leverages complementary texture and geometric information to compensate for the limitations of unimodal methods.
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DCRDF-Net: A Dual-Channel Reverse-Distillation Fusion Network for 3D Industrial Anomaly Detection.
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