Optical Flow Estimation on Su 2017 (test)
28.79PSNR (dB)BIMNetFN2
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| BIMNetFN2backbone=FlowNet2, loss=blur-invariant loss2021.08 | 28.79 | 90.7 | |
| BIMNetLFNbackbone=LiteFlowNet, loss=blur-invariant loss2021.08 | 28.43 | 90 | |
| FlowNet2sstraining_mode=sharp video frames (overfitting)2021.08 | 28.21 | 90.9 | |
| TVL12021.08 | 28.2 | 89 | |
| LiteFlowNetsstraining_mode=sharp video frames2021.08 | 27.91 | 89.3 | |
| FlowNet2**training_mode=including blurry frames2021.08 | 27.89 | 86.8 | |
| FlowNet22021.08 | 27.85 | 90.3 | |
| LiteFlowNet2021.08 | 27.64 | 89.5 | |
| LiteFlowNet**training_mode=including blurry frames2021.08 | 27.23 | 81.1 |