BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D
Object Detection

BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection

30 November 2022

Shanghang Zhang

Papers citing "BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection"

8 / 8 papers shown

Title
3DWG: 3D Weakly Supervised Visual Grounding via Category and Instance-Level Alignment X. Li J. H. Liu Nuowei Han Liang Heng Y. Guo Hao Dong Yang Liu 46 0 0 03 May 2025
HierDAMap: Towards Universal Domain Adaptive BEV Mapping via Hierarchical Perspective Priors Siyu Li Yihong Cao Hao-miao Shi Yongsheng Zang Xuan He Kailun Yang Z. Li 55 0 0 10 Mar 2025
BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection with Dynamic Temporal Stereo Yinhao Li Han Bao Zheng Ge Jinrong Yang Jian‐Yuan Sun Zeming Li 66 110 0 21 Sep 2022
Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection Zhuoling Li Z. Qu Yang Zhou Jianzhuang Liu Haoqian Wang Lihui Jiang 52 61 0 19 May 2022
Cycle and Semantic Consistent Adversarial Domain Adaptation for Reducing Simulation-to-Real Domain Shift in LiDAR Bird's Eye View Alejandro Barrera Jorge Beltrán Carlos Guindel J. Iglesias F. García 3DPC 29 11 0 22 Apr 2021
Categorical Depth Distribution Network for Monocular 3D Object Detection Cody Reading Ali Harakeh Julia Chae Steven L. Waslander 3DPC 205 475 0 01 Mar 2021
Exploring Categorical Regularization for Domain Adaptive Object Detection Chang-Dong Xu Xingjie Zhao Xin Jin Xiu-Shen Wei OOD ObjD 124 250 0 20 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015