| Paper | Code | S-Measure | max E-measure | Average MAE | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|
| Semi-Supervised Video Salient Object Detection Using Pseudo-Labels | ✓ Link | 0.872 | 0.856 | 0.049 | RCRNet+NER | 2019-08-12 |
| Shifting More Attention to Video Salient Object Detection | ✓ Link | 0.819 | 0.839 | 0.074 | SSAV | 2019-06-01 |
| Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection | 0.818 | 0.837 | 0.078 | PDB | 2018-09-01 | |
| Unsupervised Video Object Segmentation with Motion-based Bilateral Networks | 0.742 | 0.797 | 0.099 | MBNM | 2018-09-01 | |
| Flow Guided Recurrent Neural Encoder for Video Salient Object Detection | 0.715 | 0.797 | 0.097 | FGRN | 2018-06-01 | |
| Minimum Barrier Salient Object Detection at 80 FPS | 0.661 | 0.698 | 0.158 | MB+M | 2015-12-01 | |
| Real-Time Salient Object Detection With a Minimum Spanning Tree | ✓ Link | 0.657 | 0.695 | 0.144 | MSTM | 2016-06-01 |
| Saliency-Aware Geodesic Video Object Segmentation | 0.615 | 0.664 | 0.172 | SAGM | 2015-06-01 | |
| Time-Mapping Using Space-Time Saliency | 0.546 | 0.640 | 0.192 | TIMP | 2014-06-01 |