2 papers
cs.CV2025
KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models
Dong Chen, Zhengqing Hu, Peiguang Fan +5
Vision anomaly detection, particularly in unsupervised settings, often struggles to distinguish between normal samples and anomalies due to the wide variability in anomalies. Recen…
cs.LG2024
Neighborhood and Global Perturbations Supported SAM in Federated Learning: From Local Tweaks To Global Awareness
Boyuan Li, Zihao Peng, Yafei Li +4
Federated Learning (FL) can be coordinated under the orchestration of a central server to collaboratively build a privacy-preserving model without the need for data exchange. Howev…