Video Object Segmentation on FBMS-59 (test)
0.758Avg IoUDyStaB (Supervised)
Evaluation Results
| Method | Links | |
|---|---|---|
| DyStaB (Supervised)Training on videos=true, Optical flow=PWCNet [71]2022.09 | 0.758 | |
| DyStaB (Unsupervised)Optical flow=PWCNet [71]2022.09 | 0.732 | |
| DSTraining on videos=true, Optical flow=RAFT [73]2022.09 | 0.718 | |
| OursTraining on videos=true, Optical flow=ARFlow [46], Fully unsupervised=true2022.09 | 0.7 | |
| FSEGTraining on videos=true2022.09 | 0.684 | |
| LVOTraining on videos=true, Optical flow=MP-Net [74]2022.09 | 0.651 | |
| CISTraining on videos=true, Optical flow=PWCNet [71]2022.09 | 0.635 | |
| Motion Saliency-Guided Spatio-Temporal Propagation2018.09 | 0.608 | |
| MSgStP2022.09 | 0.608 | |
| ARP2018.09 | 0.598 | |
| ARPOptical flow=CPMFlow [32]2022.09 | 0.598 | |
| CUTOptical flow=LDOF [3], Fully unsupervised=true2022.09 | 0.572 | |
| FST2018.09 | 0.555 | |
| POS2018.09 | 0.542 | |
| MoSegTraining on videos=true, Optical flow=RAFT [73]2022.09 | 0.531 | |
| NLCOptical flow=SIFTFlow [45]2022.09 | 0.515 | |
| FTSOptical flow=LDOF [72], Fully unsupervised=true2022.09 | 0.477 | |
| AMDFully unsupervised=true2022.09 | 0.475 | |
| POR2018.09 | 0.473 | |
| NLC2018.09 | 0.445 |