Workshop on Distillation of Foundation Models for Autonomous Driving
Burhan Yaman, Yunsheng Ma, Xin Ye, Can Cui, Mahmut Yurt, Selim Engin, Sungyeon Park, Deyuan Qu, Xu Cao, Wenqian Ye, Chun-Hao Liu, Qi Chen, Yezhou Yang, Ziran Wang
Abstract
The 2nd Workshop on Distillation of Foundation Models for Autonomous Driving (WDFM-AD) focuses on advancing the state of the art in deploying large foundation models—such as vision-language models (VLMs) and generative AI (GenAI) models—into autonomous vehicles through efficient distillation techniques. Building on the success of our previous workshops on large language and vision models for autonomous driving, WDFM-AD aims to bring together researchers and industry professionals to explore innovative approaches that accelerate the safe, efficient, and scalable adoption of cutting-edge AI technologies in autonomous vehicles.
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