Video Salient Object Detection On Mcl
Métriques
AVERAGE MAE
MAX E-MEASURE
S-Measure
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | AVERAGE MAE | MAX E-MEASURE | S-Measure |
|---|---|---|---|
| pyramid-dilated-deeper-convlstm-for-video | 0.021 | 0.911 | 0.856 |
| minimum-barrier-salient-object-detection-at | 0.178 | 0.733 | 0.539 |
| flow-guided-recurrent-neural-encoder-for | 0.044 | 0.817 | 0.709 |
| real-time-salient-object-detection-with-a | 0.078 | 0.838 | 0.700 |
| shifting-more-attention-to-video-salient | 0.026 | 0.889 | 0.819 |
| time-masking-leveraging-temporal-information | 0.113 | 0.760 | 0.642 |
| unsupervised-video-object-segmentation-with-1 | 0.119 | 0.858 | 0.755 |
| saliency-aware-geodesic-video-object | 0.136 | 0.745 | 0.615 |