Video Salient Object Detection On Davsod 2
Metrics
Average MAE
S-Measure
max E-measure
Results
Performance results of various models on this benchmark
Model Name | Average MAE | S-Measure | max E-measure | Paper Title | Repository |
|---|---|---|---|---|---|
| SSAV | 0.114 | 0.619 | 0.696 | Shifting More Attention to Video Salient Object Detection | |
| FGRN | 0.131 | 0.608 | 0.698 | Flow Guided Recurrent Neural Encoder for Video Salient Object Detection | - |
| MSTM | 0.227 | 0.488 | 0.676 | Real-Time Salient Object Detection With a Minimum Spanning Tree | |
| SAGM | 0.161 | 0.560 | 0.697 | Saliency-Aware Geodesic Video Object Segmentation | - |
| MB+M | 0.251 | 0.492 | 0.635 | Minimum Barrier Salient Object Detection at 80 FPS | - |
| MBNM | 0.140 | 0.561 | 0.635 | Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation | - |
| PDB | 0.107 | 0.608 | 0.678 | Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection | - |
| TIMP | 0.190 | 0.530 | 0.665 | Time-Mapping Using Space-Time Saliency | - |
0 of 8 row(s) selected.