Visual Object Tracking On Uav123
Métriques
AUC
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | AUC |
|---|---|
| artrackv2-prompting-autoregressive-tracker | 0.717 |
| joint-feature-learning-and-relation-modeling | 0.707 |
| tracking-meets-lora-faster-training-larger | 0.725 |
| tracking-meets-lora-faster-training-larger | 0.739 |
| learning-target-candidate-association-to-keep | 0.697 |
| seqtrack-sequence-to-sequence-learning-for | 0.685 |
| aiatrack-attention-in-attention-for | 0.706 |
| target-transformed-regression-for-accurate | 0.669 |
| how-to-train-your-energy-based-model-for | 0.672 |
| learning-historical-status-prompt-for | 0.705 |
| a-distilled-model-for-tracking-and-tracker | 0.679 |
| neighbortrack-improving-single-object | 0.725 |
| dctd-deep-conditional-target-densities-for | 0.672 |
| autoregressive-visual-tracking | 0.712 |
| mixformer-end-to-end-tracking-with-iterative-1 | 0.704 |