Abstract: Industrial few-shot anomaly detection (FSAD) requires identifying various abnormal states by leveraging as few normal samples as possible (abnormal samples are unavailable during training).

Neil Simpson hopeful fourth place in downhill can spark future Paralympic skiing medal - Simpson, who skis alongside his brother Andrew as his guide, will now target the super-G for medal success ...

It's like having a microneedling treatment at home, without the needles.

Abstract: The scarcity of annotated data in medical domains poses a major challenge for training deep learning models. Motivated by this, we evaluated 14 Few-Shot Learning (FSL) methods for retinal ...

This is the third time the far eastern tip of North America’s continent has hosted the Brier and so far, the hospitality has exceeded expectations. If not for the challenge of recovering from a red ...