Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training

25 April 2022

Papers citing "Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training"

8 / 8 papers shown

Title
PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation Zhenyu Li Shariq Farooq Bhat Peter Wonka 3DV MDE 33 7 0 10 Jun 2024
MS3D: Leveraging Multiple Detectors for Unsupervised Domain Adaptation in 3D Object Detection Darren Tsai J. S. Berrio Mao Shan E. Nebot Stewart Worrall 3DPC 43 10 0 05 Apr 2023
BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection Jiaming Liu Rongyu Zhang Xiaoqi Li Xiaowei Chi Zehui Chen Ming Lu Yandong Guo Shanghang Zhang 3DPC 43 4 0 30 Nov 2022
Towards Model Generalization for Monocular 3D Object Detection Zhenyu Li Zehui Chen Ang Li Liangji Fang Qinhong Jiang Xianming Liu Junjun Jiang 33 7 0 23 May 2022
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation Zhenyu Li Xuyang Wang Xianming Liu Junjun Jiang MDE 24 191 0 03 Apr 2022
Categorical Depth Distribution Network for Monocular 3D Object Detection Cody Reading Ali Harakeh Julia Chae Steven L. Waslander 3DPC 230 484 0 01 Mar 2021
Boosting Domain Adaptation by Discovering Latent Domains Massimiliano Mancini Lorenzo Porzi Samuel Rota Buló Barbara Caputo Elisa Ricci OOD 136 154 0 03 May 2018
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017