Visual Object Tracking On Otb 2013
Metriken
AUC
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | AUC |
|---|---|
| siamvgg-visual-tracking-using-deeper-siamese | 0.665 |
| learning-dynamic-siamese-network-for-visual | 0.656 |
| scale-equivariance-improves-siamese-tracking | 0.68 |
| end-to-end-representation-learning-for | 0.611 |
| a-twofold-siamese-network-for-real-time | 0.677 |
| learning-attentions-residual-attentional | 0.670 |
| fully-convolutional-siamese-networks-for-1 | 0.607 |