Distilling Vision-Language Models for On-Device Fire Understanding
A teacher-student knowledge distillation framework in which large VLMs fine-tuned for fire understanding can be distilled into lightweight students is developed, which provides broader guidance for deploying domain-specialized VLMs in resource-constrained, safety-critical settings.
Mohammad Kazzazi, Zi-Xuan Liu, S. Khajavi
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