1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Towards Fair and Comprehensive Comparisons for Image-Based 3D Object Detection
Xinzhu Ma, Yongtao Wang, Yinmin Zhang +5
In this work, we build a modular-designed codebase, formulate strong training recipes, design an error diagnosis toolbox, and discuss current methods for image-based 3D object dete…
cs.AI2023★ 1 cited
Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning
Chuming Li, Ruonan Jia, Jie Liu +5
Model-based reinforcement learning (RL) has demonstrated remarkable successes on a range of continuous control tasks due to its high sample efficiency. To save the computation cost…
cs.CV2022★ 1 cited
An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection
Xinzhu Ma, Yuan Meng, Yinmin Zhang +4
Image-based 3D detection is an indispensable component of the perception system for autonomous driving. However, it still suffers from the unsatisfying performance, one of the main…