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Multilevel Saliency-Guided Self-Supervised Learning for Image Anomaly Detection
To fully exploit saliency guidance, on each map, we select a pixel pair from the cluster with the highest centroid saliency to form a patch pair.
Image-Pointcloud Fusion based Anomaly Detection using PD-REAL Dataset
We present PD-REAL, a novel large-scale dataset for unsupervised anomaly detection (AD) in the 3D domain.
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples
Moreover, our method only requires very few normal samples to train the student network due to the teacher-student distillation mechanism.
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