One Training for Multiple Deployments: Polar-based Adaptive BEV Perception for Autonomous Driving
Huitong Yang,Xuyang Bai,Xinge Zhu,Yuexin Ma,Huitong Yang,Xuyang Bai,Xinge Zhu,Yuexin Ma
Current on-board chips usually have different computing power, which means multiple training processes are needed for adapting the same learning-based algorithm to different chips, costing huge computing resources. The situation becomes even worse for 3D perception methods with large models. Previous vision-centric 3D perception approaches are trained with regular grid-represented feature maps of ...
