Novel Network for Few-Shot Anomaly Detection in Images
Published:Dec 17, 2025 11:14
•1 min read
•ArXiv
Analysis
This research paper proposes a novel approach to few-shot anomaly detection leveraging prototype learning and context-aware segmentation. The focus on few-shot learning is a significant area of research given the limited labeled data in anomaly detection scenarios.
Key Takeaways
Reference
“The paper is available on ArXiv.”