An edge-adaptive vision-language framework for real-time open-set violence recognition in surveillance videos
Low-latency violent event detection is essential for intelligent edge surveillance. Current violent recognition models suffer three critical deployment drawbacks: prohibitive computational overhead from full fine‑tuning, inadequate temporal modeling for continuous video streams, and severe performance degradation whe...