FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
最近專心看flownet，在跑代碼，但願有個好結果。如果出問題，應該是delay_mult也設置成10的問題了。 訓練過程看flownet2論文 從圖中結果看，flownet2的結果更加平滑，2代相對於1代在質量和速度上都有了顯著的提升 1.注重了訓練樣本質量 2.提出了網絡堆結構，以中間光流狀態改變第二張圖的形態 3.通過引入專門針對小運動的子網絡來增強網絡對於小位移的性能 2代速度比1代略有遜
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相關文章
- 1. FlowNet 2.0 Evolution of Optical Flow Estimation with Deep Networks
- 2. FlowNet2.0:Evolution of Optical Flow Estimation with Deep Networks
- 3. CNN光流計算2--FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
- 4. 論文翻譯：FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
- 5. FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks 代碼及環境配置
- 6. FlowNet: Learning Optical Flow with Convolutional Networks
- 7. [翻譯]FlowNet: Learning Optical Flow with Convolutional Networks
- 8. Optical Flow 發展歷程 (1)
- 9. 【視頻檢測】FlowNet: Learning Optical Flow with Convolutional Networks
- 10. CNN光流計算--FlowNet: Learning Optical Flow with Convolutional Networks