Visual Object Tracking On Needforspeed
Metrics
AUC
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | AUC |
|---|---|
| seqtrack-sequence-to-sequence-learning-for | 0.662 |
| how-to-train-your-energy-based-model-for | 0.65 |
| samurai-adapting-segment-anything-model-for-1 | 0.692 |
| artrackv2-prompting-autoregressive-tracker | 0.684 |
| tracking-meets-lora-faster-training-larger | 0.667 |
| learning-historical-status-prompt-for | 0.681 |
| improving-visual-object-tracking-through | 0.682 |
| tracking-meets-lora-faster-training-larger | 0.681 |
| aiatrack-attention-in-attention-for | 0.679 |