Lightweight Multimodal Anomaly Detection Based on GhostNet and FiLM
To address the trade-off between detection accuracy and deployment efficiency in surveillance-based anomaly detection, we propose a lightweight multimodal abnormal behavior detection method based on GhostNet and FiLM fusion (G-FLM). GhostNet is employed as a lightweight visual backbone to reduce computational redundanc...