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Updated: Sep 14, 2025

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多任务视觉语言模型用于使用VehiclePaliGemma识别车辆车牌.

Nouar AlDahoul1, Myles Joshua Toledo Tan2, Raghava Reddy Tera3

  • 1Computer Science, New York University Abu Dhabi, Abu Dhabi, UAE.

Scientific reports
|July 18, 2025
PubMed
概括

本研究介绍了VehiclePaliGemma,这是一个微调的视觉语言模型 (VLM),可以显著提高对扭曲图像的车牌识别 (LPR) 准确性. 它的性能优于现有方法,在具有挑战性的条件下达到87.6%的准确性.

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