MVTec-AD
A standard benchmark dataset in the field of industrial anomaly detection. It contains normal and defective samples of various industrial products and provides evaluation for both image-level and pixel-level anomaly detection.
Timeline (last 90 days)
In the 1-shot setting, Flownomaly achieves 97.8% image-level AUROC and 98.0% pixel-level AUROC on MVTec-AD.
The paper covers 1-, 2-, and 4-shot benchmarks on MVTec-AD and VisA, and conducts a sample-count variation evaluation on Real-IAD, achieving state-of-the-art results compared with recent class-specific methods in all cases.
All Facts (2)
In the 1-shot setting, Flownomaly achieves 97.8% image-level AUROC and 98.0% pixel-level AUROC on MVTec-AD.
50%UnverifiedThe paper covers 1-, 2-, and 4-shot benchmarks on MVTec-AD and VisA, and conducts a sample-count variation evaluation on Real-IAD, achieving state-of-the-art results compared with recent class-specific methods in all cases.
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