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Eindhoven University of Technology
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You can get surprisingly accurate defect segmentation from noisy SAM pseudo-masks by treating SAM as a flawed teacher and correcting its mistakes during training.
Forget finetuning: this training-free anomaly detection method using DINOv2 and PCA achieves state-of-the-art results in few-shot settings.
