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A new benchmark reveals that existing defect detection methods falter in novel production scenarios, highlighting the urgent need for severity-aware assessments in manufacturing.
TuringViT outperforms leading ViT models with just 10% of the training data, making state-of-the-art vision technology accessible to a wider audience.
Injecting diversity at the specification level can significantly enhance output variety while preserving quality, challenging conventional methods that often fall short.