Fuller: Unified multi-modality multi-task 3d perception via multi-level gradient calibration

Z Huang, S Lin, G Liu, M Luo, C Ye… - Proceedings of the …, 2023 - openaccess.thecvf.com
Multi-modality fusion and multi-task learning are becoming trendy in 3D autonomous driving
scenario, considering robust prediction and computation budget. However, naively …
被引用次数：2 相关文章

FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration

Z Huang, S Lin, G Liu, M Luo, C Ye, H Xu… - arXiv preprint arXiv …, 2023 - arxiv.org
Multi-modality fusion and multi-task learning are becoming trendy in 3D autonomous driving
scenario, considering robust prediction and computation budget. However, naively …

FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration

Z Huang, S Lin, G Liu, M Luo, C Ye, H Xu… - 2023 IEEE/CVF …, 2023 - computer.org
Multi-modality fusion and multi-task learning are becoming trendy in 3D autonomous driving
scenario, considering robust prediction and computation budget. However, naively …

[引用][C] FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration

Z Huang, S Lin, G Liu, M Luo, C Ye, H Xu… - 2023 IEEE/CVF …, 2023 - opus.lib.uts.edu.au
OPUS at UTS: FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level
Gradient Calibration - Open Publications of UTS Scholars Skip navigation OPUS at UTS …

FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration

Z Huang, S Lin, G Liu, M Luo, C Ye… - 2023 IEEE/CVF …, 2023 - ieeexplore.ieee.org
Multi-modality fusion and multi-task learning are becoming trendy in 3D autonomous driving
scenario, considering robust prediction and computation budget. However, naively …

FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration

Z Huang, S Lin, G Liu, M Luo, C Ye, H Xu… - arXiv e …, 2023 - ui.adsabs.harvard.edu
Multi-modality fusion and multi-task learning are becoming trendy in 3D autonomous driving
scenario, considering robust prediction and computation budget. However, naively …