Video Salient Object Detection On Davsod 2
Métriques
Average MAE
S-Measure
max E-measure
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Average MAE | S-Measure | max E-measure |
|---|---|---|---|
| shifting-more-attention-to-video-salient | 0.114 | 0.619 | 0.696 |
| flow-guided-recurrent-neural-encoder-for | 0.131 | 0.608 | 0.698 |
| real-time-salient-object-detection-with-a | 0.227 | 0.488 | 0.676 |
| saliency-aware-geodesic-video-object | 0.161 | 0.560 | 0.697 |
| minimum-barrier-salient-object-detection-at | 0.251 | 0.492 | 0.635 |
| unsupervised-video-object-segmentation-using | 0.140 | 0.561 | 0.635 |
| pyramid-dilated-deeper-convlstm-for-video | 0.107 | 0.608 | 0.678 |
| time-mapping-using-space-time-saliency | 0.190 | 0.530 | 0.665 |