In a bid to improve quality control and reduce production errors, manufacturers are increasingly adopting automated anomaly ...

Industrial anomaly detection is crucial for maintaining quality control and reducing production errors, but traditional ...

These strategies are designed to help the model learn resilient feature representations, which are vital for accurate anomaly detection in noisy real-world scenarios.

Researchers have designed a robust image-based anomaly detection (AD) framework with illumination enhancement and noise suppression features that can enhance the detection of subtle defects in low ...