InCTRLv2 extends InCTRL with discriminative and one-class anomaly score learning modules to achieve state-of-the-art few-shot generalist anomaly detection and segmentation across ten datasets.
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp 14183–14193
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InCTRLv2: Generalist Residual Models for Few-Shot Anomaly Detection and Segmentation
InCTRLv2 extends InCTRL with discriminative and one-class anomaly score learning modules to achieve state-of-the-art few-shot generalist anomaly detection and segmentation across ten datasets.