论文笔记_S2D.17-2018-ECCV-Depth Estimation via Affinity Learned with Convolutional Spatial Propagation..

时间 2020-12-30

标签深度学习三维重建繁體版

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基本情况题目：Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network 通过卷积空间传播网络进行相似性学习进行深度估计作者：Xinjing Cheng⋆, Peng Wang⋆ and Ruigang Yang Baidu Research, Baidu Inc. 引用：Cheng

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1. 论文笔记-Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network
2. 论文解读 Learning Depth with Convolutional Spatial Propagation Network
3. 论文笔记_S2D.21_Deep Convolutional Neural Fields for Depth Estimation from a Single Image
4. AP affinity propagation 笔记
5. 论文笔记_S2D.16-2016-3DV-Deeper Depth Prediction with Fully Convolutional Residual Networks
6. CSPN：Learning Depth with Convolutional Spatial Propagation Network阅读笔记
7. 论文笔记：LCLR 2018 FastGCN: Fast Learning With Graph Convolutional Networks Via Important Sampling
8. 论文阅读笔记（四十五）：Deformable Convolutional Networks
9. 【论文笔记】Spectral-Spatial Exploration for HSIC via the Fusion of FCN
10. part-aligned系列论文：1707.Deeply-Learned Part-Aligned Representations for Person Re-Identification 论文笔记
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1. 论文笔记-Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network
2. 论文解读 Learning Depth with Convolutional Spatial Propagation Network
3. 论文笔记_S2D.21_Deep Convolutional Neural Fields for Depth Estimation from a Single Image
4. AP affinity propagation 笔记
5. 论文笔记_S2D.16-2016-3DV-Deeper Depth Prediction with Fully Convolutional Residual Networks
6. CSPN：Learning Depth with Convolutional Spatial Propagation Network阅读笔记
7. 论文笔记：LCLR 2018 FastGCN: Fast Learning With Graph Convolutional Networks Via Important Sampling
8. 论文阅读笔记（四十五）：Deformable Convolutional Networks
9. 【论文笔记】Spectral-Spatial Exploration for HSIC via the Fusion of FCN
10. part-aligned系列论文：1707.Deeply-Learned Part-Aligned Representations for Person Re-Identification 论文笔记

>>更多相关文章<<