UniSpector organizes visual prompt space with spatial-spectral and contrastive encoders to support open-set defect localization, beating baselines by at least 19.7% AP50b and 15.8% AP50m on the new Inspect Anything benchmark.
Efficien- tad: Accurate visual anomaly detection at millisecond-level latencies
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SuperADD enhances SuperAD with DINOv3 backbone, overlapping patches, augmentations, better memory subsampling, and morphological closing to achieve higher F1 scores on MVTec AD 2 without class-specific tuning.
citing papers explorer
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UniSpector: Towards Universal Open-set Defect Recognition via Spectral-Contrastive Visual Prompting
UniSpector organizes visual prompt space with spatial-spectral and contrastive encoders to support open-set defect localization, beating baselines by at least 19.7% AP50b and 15.8% AP50m on the new Inspect Anything benchmark.
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SuperADD: Training-free Class-agnostic Anomaly Segmentation -- CVPR 2026 VAND 4.0 Workshop Challenge Industrial Track
SuperADD enhances SuperAD with DINOv3 backbone, overlapping patches, augmentations, better memory subsampling, and morphological closing to achieve higher F1 scores on MVTec AD 2 without class-specific tuning.