most citedMulti-Scale Distillation for RGB-D Anomaly Detection on the PD-REAL Dataset

1 citations · 1 across the 2 of their papers we have counts for

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cs.CV2026★ 1 cited

Multi-Scale Distillation for RGB-D Anomaly Detection on the PD-REAL Dataset

Jianjian Qin, Chao Zhang, Chunzhi Gu +5

We present PD-REAL, a novel large-scale dataset for unsupervised anomaly detection (AD) in the 3D domain. It is motivated by the fact that 2D-only representations in the AD task ma…

cs.CV2026

DMP-3DAD: Cross-Category 3D Anomaly Detection via Realistic Depth Map Projection with Few Normal Samples

Zi Wang, Katsuya Hotta, Koichiro Kamide +4

Cross-category anomaly detection for 3D point clouds aims to determine whether an unseen object belongs to a target category using only a few normal examples. Most existing methods…