ViPNet: An End-to-End 6D Visual Camera Pose Regression Network - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Haohao Hu, Aoran Wang, Marc Sons, Martin Lauer. ViPNet: An End-to-End 6D Visual Camera Pose Regression Network. In 23rd IEEE International Conference on Intelligent Transportation Systems, ITSC 2020, Rhodes, Greece, September 20-23, 2020. pages 1-7, IEEE, 2020. [doi]

The following publications are possibly variants of this publication:

E2EK: End-to-End Regression Network Based on Keypoint for 6D Pose EstimationShifeng Lin, Zunran Wang, Yonggen Ling, Yidan Tao, Chenguang Yang. ral, 7(3):6526-6533, 2022. [doi]

End-to-end coding for TCPYong Cui, Lian Wang, Xin Wang, Yisen Wang, Fengyuan Ren, Shu-Tao Xia. network, 30(2):68-73, 2016. [doi]

DRNet: A Depth-Based Regression Network for 6D Object Pose EstimationLei Jin, Xiaojuan Wang, Mingshu He, Jingyue Wang. sensors, 21(5):1692, 2021. [doi]

Linear-Covariance Loss for End-to-End Learning of 6D Pose EstimationFulin Liu, Yinlin Hu, Mathieu Salzmann. iccv 2023: 14061-14071 [doi]

runs on WebDSL