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cs.CV2025
Injecting Explainability and Lightweight Design into Weakly Supervised Video Anomaly Detection Systems
Wen-Dong Jiang, Chih-Yung Chang, Hsiang-Chuan Chang +2
Weakly Supervised Monitoring Anomaly Detection (WSMAD) utilizes weak supervision learning to identify anomalies, a critical task for smart city monitoring. However, existing multim…
cs.CV2025
A Lightweight Dual-Branch System for Weakly-Supervised Video Anomaly Detection on Consumer Edge Devices
Wen-Dong Jiang, Chih-Yung Chang, Ssu-Chi Kuai +1
The growing demand for intelligent security in consumer electronics, such as smart home cameras and personal monitoring systems, is often hindered by the high computational cost an…