《Unsupervised Learning of Depth and Ego-Motion from Video》论文笔记
Unsupervised Learning of Depth and Ego-Motion from Video 作者：Tinghui Zhou, 项目主页 摘要 作者针对于无结构化的单目视频序列的图像深度获取提出了一种无监督网络架构，与之前方法不同在于作者的方法是完全无监督的，而之前的网络或者需要像素深度的标记，或者需要相机姿势的标记等。网络中使用了单目视的深度预测网络与双目视的姿势预测网络，并
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相关文章
- 1. CVPR 2017【论文笔记】Unsupervised Learning of Depth and Ego-Motion from Video
- 2. Unsupervised Learning of Depth and Ego-Motion from Video论文见解
- 3. 论文笔记-深度估计(6)-Unsupervised Learning of Depth and Ego-Motion from Video
- 4. Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints
- 5. 论文笔记：Unsupervised Learning of Depth and Ego-Motion from Video（无监督深度预测系列4：PoseCNN方法）
- 6. PredNet --- Deep Predictive coding networks for video prediction and unsupervised learning --- 论文笔记
- 7. 论文阅读： GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose(CVPR2018)
- 8. 【论文笔记】Unsupervised Learning of Video Representations using LSTMs
- 9. 论文笔记（三） 【Learning from Simulated and Unsupervised Images through Adversarial Training】
- 10. 读论文1-Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric（老师让看）