6D-VNet: End-To-End 6DoF Vehicle Pose Estimation From Monocular RGB Images-Reference-Cited by-同舟云学术

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6D-VNet: End-To-End 6DoF Vehicle Pose Estimation From Monocular RGB Images

Published:2019-06 Issue: Volume: Page:
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Container-title:2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Wu Di,Zhuang Zhaoyong,Xiang Canqun,Zou Wenbin,Li Xia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8972688/9025328/09025591.pdf?arnumber=9025591

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Research on Model-Free 6D Object Pose Estimation Based on Vision 3D Matching;Proceedings of the 2024 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition;2024-04-26

3. Mask6D: Masked Pose Priors for 6D Object Pose Estimation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. DeepKalPose: An enhanced deep‐learning Kalman filter for temporally consistent monocular vehicle pose estimation;Electronics Letters;2024-04

5. W6DNet: Weakly Supervised Domain Adaptation for Monocular Vehicle 6-D Pose Estimation With 3-D Priors and Synthetic Data;IEEE Transactions on Instrumentation and Measurement;2024

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