Zhen-Hai Qin

Using Multimodal Large Language Models for False Alarm Reduction in Image-Based Fire Detection

Existing vision-based methods suffer from high false alarm rates in urban flame detection. Applying Multimodal Large Language Models (MLLMs) for secondary filtering shows great potential for reducing false alarms, yet they have high inference latency and are prone to reasoning collapse on negative samples without expli...