Introduction to Camera Pose Estimation with Deep Learning && 2019 论文笔记
第一作者：Yoli Shavit，Ron Ferens 研究机构： Toga Networks (华为，以色列) 这篇论文将现有的相机位姿估计方法根据实现原理分为两个大类,基本涵盖了大部分关键方法,有助于入门相机位姿估计这一研究方向。 论文解决的问题 论文回顾总结了基于深度学习的相机绝对位姿估计方法， 并描述了该领域的关键方法，并确定了未来的发展趋势，即改进原始深度位姿回归解。 提供了一些基于学习
相关文章
- 1. PoseNet2：Geometric loss functions for camera pose regression with deep learning 论文笔记
- 2. 人体姿态识别~HRNet论文笔记~《Deep High-Resolution Representation Learning for Human Pose Estimation》
- 3. Deep Learning Models and Code for Pose Estimation
- 4. Machine Learning & Deep Learning 论文阅读笔记
- 5. Deep High-Resolution Representation Learning for Human Pose Estimation
- 6. 论文笔记（一）Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach
- 7. Deep High-Resolution Representation Learning for Human Pose Estimation论文翻译阅读 - 2019CVPR
- 8. From Depth Data to Head Pose Estimation: a Siamese approach----论文阅读笔记
- 9. 论文笔记：《Playing Atari with Deep Reinforcement Learning》
- 10. Assignment | 01-week1-Introduction to deep learning
- 更多相关文章...
- • ASP.NET Razor - 标记 - ASP.NET 教程
- • CAP理论是什么？ - NoSQL教程
- • Tomcat学习笔记（史上最全tomcat学习笔记）
- • Scala 中文乱码解决
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. PoseNet2：Geometric loss functions for camera pose regression with deep learning 论文笔记
- 2. 人体姿态识别~HRNet论文笔记~《Deep High-Resolution Representation Learning for Human Pose Estimation》
- 3. Deep Learning Models and Code for Pose Estimation
- 4. Machine Learning & Deep Learning 论文阅读笔记
- 5. Deep High-Resolution Representation Learning for Human Pose Estimation
- 6. 论文笔记（一）Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach
- 7. Deep High-Resolution Representation Learning for Human Pose Estimation论文翻译阅读 - 2019CVPR
- 8. From Depth Data to Head Pose Estimation: a Siamese approach----论文阅读笔记
- 9. 论文笔记：《Playing Atari with Deep Reinforcement Learning》
- 10. Assignment | 01-week1-Introduction to deep learning