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This work was supported in part by the National Key Research and Development Program of China under grant 2023YFB3209800, in part by the Aeronautical Science Foundation of China under grant 2024M071076001, and in part by the National Natural Science Foundation of China under grant 62301484.*Equal Contribution, 鈥燙orresponding author.Xiaokai Bai, Jiahao Cheng, Songkai Wang, Yixuan Luo and Hui-Liang Shen are with the College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China (e-mail: shawnnnkb@zju.edu.cn, 3230105428@zju.edu.cn, 3230105116@zju.edu.cn, 3240102341@zju.edu.cn, zhangxh2023@zju.edu.cn, shenhl@zju.edu.cn).Si-Yuan Cao is with the Ningbo Global Innovation Center, Zhejiang University, Ningbo 315100, China (e-mail: cao_siyuan@zju.edu.cn).Lianqing Zheng is with the School of Automotive Studies, Tongji University, Shanghai 201804, China (e-mail: zhenglianqing@tongji.edu.cn)
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Overcome the extreme sparsity and noise of 4D radar data with SD4R, a new method that significantly boosts 3D object detection performance.