no code implementations • 27 May 2024 • Ziying Song, Feiyang Jia, Hongyu Pan, Yadan Luo, Caiyan Jia, Guoxin Zhang, Lin Liu, Yang Ji, Lei Yang, Li Wang
We propose the InstanceFusion module, which utilizes contrastive learning to generate similar instance features across heterogeneous modalities.
no code implementations • 18 Mar 2024 • Ziying Song, Lei Yang, Shaoqing Xu, Lin Liu, Dongyang Xu, Caiyan Jia, Feiyang Jia, Li Wang
Additionally, we propose a Global Align module to rectify the misalignment between LiDAR and camera BEV features.
no code implementations • 12 Jan 2024 • Ziying Song, Lin Liu, Feiyang Jia, Yadan Luo, Guoxin Zhang, Lei Yang, Li Wang, Caiyan Jia
In the realm of modern autonomous driving, the perception system is indispensable for accurately assessing the state of the surrounding environment, thereby enabling informed prediction and planning.
1 code implementation • 8 Jan 2024 • Ziying Song, Guoxing Zhang, Lin Liu, Lei Yang, Shaoqing Xu, Caiyan Jia, Feiyang Jia, Li Wang
To align SAM or SAM-AD with multi-modal methods, we then introduce AD-FPN for upsampling the image features extracted by SAM.