Video Salient Object Detection On Davsod 1
Metriken
Average MAE
S-Measure
max E-measure
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Average MAE | S-Measure | max E-measure |
|---|---|---|---|
| real-time-salient-object-detection-with-a | 0.251 | 0.496 | 0.573 |
| time-mapping-using-space-time-saliency | 0.245 | 0.503 | 0.616 |
| minimum-barrier-salient-object-detection-at | 0.261 | 0.506 | 0.552 |
| pyramid-dilated-deeper-convlstm-for-video | 0.132 | 0.649 | 0.698 |
| flow-guided-recurrent-neural-encoder-for | 0.126 | 0.638 | 0.700 |
| shifting-more-attention-to-video-salient | 0.117 | 0.661 | 0.723 |
| saliency-aware-geodesic-video-object | 0.198 | 0.543 | 0.616 |
| unsupervised-video-object-segmentation-with-1 | 0.127 | 0.597 | 0.665 |