IEEE

Multilingual-Prompt-Guided Directional Feature Learning for Weakly Supervised Video Anomaly Detection

Abstract: Weakly supervised video anomaly detection has gained attention for its effective performance and cost-efficient annotation, using video-level labels to distinguish between normal and ...
IEEE

Learning Contrastive Evolving Micro-Clusters for Robust Semi-Supervised Data Stream Classification

Abstract: Semi-supervised learning on data streams with concept drift has attracted considerable attention in recent decades. Many existing algorithms have achieved promising results on ...
GitHub

Reinforcement learning based selection of error mitigation parameters

Zero noise extrapolation (ZNE) is a well known error mitigation technique used widely for near-term quantum computing. A general drawback of this method is the ...
The Lancet

Development of a multi-task deep learning system for classification of nine common knee abnormalities on MRI: a large-scale, multicentre, stepwise validation study

aDepartment of Radiology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China bInstitute of High-End Intelligent Health Equipment, Academy of Orthopedics, Guangdong Province ...