3D Bounding Box Estimation Using Deep Learning and Geometry
算法基本思想 3d box的長寬高迴歸 角度迴歸 注意：論文中的角度迴歸分支是對 c o s θ l cos{\theta_l} cosθl 和 s i n θ l sin{\theta_l} sinθl來進行迴歸的。 類別判斷 這裏的類別判斷就是簡單的多分類。 2d box的迴歸 這個迴歸沒有在文章圖中體現出來，但是確實存在，後面的3d box計算也是要基於2d box的信息，2d box回
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相關文章
- 1. 3D Bounding Box Estimation Using Deep Learning and Geometry論文理解
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- 7. Joint Transmission Map Estimation and Dehazing using Deep Networks
- 8. Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
- 9. DIM（Learning deep representations by mutual information estimation and maximization）
- 10. Learn OpenCV Deep Learning based Text Detection Using OpenCV (C++/Python)