論文閱讀筆記《Learning monocular depth estimation infusing traditional stereo knowledge》
網絡名稱：monoResMatch 論文來源：CVPR2019 核心思想 本文提出一種自監督實現單目深度估計的網絡，其思路也非常簡單，將單目深度估計轉化成立體匹配問題，再用立體匹配網絡進行視差估計。整個網絡結構包含以下幾個部分：初級特徵提取網絡，初級視差估計網絡，視差優化網絡。初級特徵提取網絡是由一個簡單的沙漏型結構構成的，對左圖提取高緯度的特徵圖 F L 0 F^0_L FL0。初級視差估
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相關文章
- 1. 【論文閱讀筆記】High Quality Monocular Depth Estimation via Transfer Learning
- 2. Anytime Stereo Image Depth Estimation on Mobile Devices論文閱讀筆記
- 3. 論文研讀：2016 DeMoN Depth and Motion Network for Learning Monocular Stereo
- 4. Machine Learning & Deep Learning 論文閱讀筆記
- 5. 論文閱讀：Unsupervised Monocular Depth Estimation with Left-Right Consistency(CVPR 2017)
- 6. 論文閱讀:High-Precision Depth Estimation Using Uncalibrated LiDAR and Stereo Fusion
- 7. CVPR2017 Oral【論文筆記】Unsupervised Monocular Depth Estimation with Left-Right Consistency
- 8. Unsupervised Monocular Depth Estimation With Left-Right Consistency 論文筆記
- 9. Monocular Relative Depth Perception with Web Stereo Data Supervision 論文筆記
- 10. Learning to solve nonlinear least squares for monocular stereo閱讀筆記