Dual-Path AI Spots Defects by Reconstructing Images Two Ways at Once
Researchers at Shiv Nadar University have developed a dual-path AI framework that combines a residual gated autoencoder with patchwise nearest-neighbor ...
Researchers at Shiv Nadar University have developed a dual-path AI framework that combines a residual gated autoencoder with patchwise nearest-neighbor ...
A new self-supervised framework called AnomalyMHKD combines self-distillation, cross-architecture distillation and dynamic teacher freezing to detect industrial anomalies with up ...
Researchers at Yonsei University have developed a prompt-tuning method that lets the vision-language model CLIP detect and localize industrial defects ...
A new cross-modal AI framework called CMAC-Net aligns visual defect regions with textual semantics, improving industrial anomaly detection accuracy and ...
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© 2025 Scienmag - Science Magazine