论文笔记_Estimating Depth from RGB and Sparse Sensing
论文基本情况 题目: Estimating Depth from RGB and Sparse Sensing 作者：Zhao Chen, Vijay Badrinarayanan,Gilad Drozdov, and Andrew Rabinovich 单位：AR公司 Magic Leap, Sunnyvale CA 94089, USA 出处：ECCV 2018 摘要 我们提出了一个深度模型，
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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. 论文笔记_Extracting 3D Scene-consistent Object Proposals and Depth from Stereo Images
- 3. 《Unsupervised Learning of Depth and Ego-Motion from Video》论文笔记
- 4. 论文笔记：3D indoor scene modeling from RGB-D data
- 5. From Depth Data to Head Pose Estimation: a Siamese approach----论文阅读笔记
- 6. 【阅读笔记】《Depth-Aware CNN for RGB-D Segmentation》（一）——论文部分
- 7. Self-Supervised Sparse-to-Dense:Self-Supervised Depth Completion from LiDAR and Monocular Camera
- 8. LIDAR and Monocular Camera Fusion: On-road Depth Completion for Autonomous Driving 论文笔记
- 9. Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale... 论文笔记
- 10. 论文学习笔记（二） D-CNN: Depth-aware CNN for RGB-D Segmentation