2026
Sparsity-Controllable Normality Learning With Vision–Language Models for Scenario-Related Video Anomaly Detection
Video anomaly detection (VAD) is critical for automation systems and security surveillance. Recently, multimodal vision–language models (MLLMs) have attracted increasing attention due to their rich pre-trained knowledge and strong explainability. However, existing MLLM-based approaches struggle to adapt to real-world s...
Jiangyun Chen, Yuanjie Dang, Peng Chen et al.
· IEEE Transactions on Informa... · 0 citations