Video Salient Object Detection On Uvsd
Metriken
Average MAE
S-Measure
max E-measure
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Average MAE | S-Measure | max E-measure |
|---|---|---|---|
| flow-guided-recurrent-neural-encoder-for | 0.042 | 0.745 | 0.887 |
| saliency-aware-geodesic-video-object | 0.111 | 0.629 | 0.755 |
| minimum-barrier-salient-object-detection-at | 0.169 | 0.563 | 0.668 |
| pyramid-dilated-deeper-convlstm-for-video | 0.018 | 0.901 | 0.975 |
| real-time-salient-object-detection-with-a | 0.145 | 0.551 | 0.718 |
| shifting-more-attention-to-video-salient | 0.025 | 0.860 | 0.939 |
| time-mapping-using-space-time-saliency | 0.171 | 0.541 | 0.662 |
| unsupervised-video-object-segmentation-with-1 | 0.079 | 0.698 | 0.776 |