Optical Flow 發展歷程 (1)
阿新 • • 發佈：2019-01-10
接下來 margin cnn 發展 microsoft arp 參考文獻 eal eight
Optical flow estimation
Traditional Method
Variational approach
-
- TVL-1 [1]
Deep Method
Supervised
-
- FlowNet [6]
- FlowNetC [6]
- FlowNetS [6]
- FlowNet2.0 [3]
- SpyNet [5]
- LiteFlowNet [7]
- PWCNet [4]
Unsupervised
-
- MotionFlowNet [2]
接下來的幾篇文章將詳細分析這幾個模型：
參考文獻：
[1] A Duality Based Approach for Realtime TV-L1 Optical Flow
[2] Hidden Two-Stream Convolutional Networks for Action Recognition
[3] Flownet 2.0: Evolution of optical flow estimation with deep networks
[4] PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
[5] Optical flow estimation using a spatial pyramid network
[6] Flownet: Learning optical flow with convolutional networks
[7] LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation
Optical Flow 發展歷程 (1)