Video Salient Object Detection On Segtrack V2
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 |
|---|---|---|---|
| saliency-aware-geodesic-video-object | 0.081 | 0.719 | 0.826 |
| a-unified-transformer-framework-for-group | 0.022 | 0.892 | - |
| real-time-salient-object-detection-with-a | 0.114 | 0.643 | 0.733 |
| pyramid-dilated-deeper-convlstm-for-video | 0.024 | 0.864 | 0.935 |
| minimum-barrier-salient-object-detection-at | 0.146 | 0.618 | 0.778 |
| unsupervised-video-object-segmentation-with-1 | 0.026 | 0.809 | 0.878 |
| shifting-more-attention-to-video-salient | 0.023 | 0.850 | 0.917 |
| time-masking-leveraging-temporal-information | 0.116 | 0.644 | 0.768 |