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Object Tracking On Fe108
Metrics
Averaged Precision
Success Rate
Results
Performance results of various models on this benchmark
| Paper Title | Repository | |||
|---|---|---|---|---|
| HR-MonTrack-Base | 96.2 | 68.5 | Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers | |
| HR-MonTrack-Tiny | 95.3 | 66.3 | Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers | |
| Multi-modal | 92.4 | 63.4 | Object Tracking by Jointly Exploiting Frame and Event Domain | |
| PrDiMP | 87.7 | 59.0 | Probabilistic Regression for Visual Tracking | |
| MonTrack | 85.9 | 54.9 | - | - |
| DiMP | 85.1 | 57.1 | Learning Discriminative Model Prediction for Tracking | |
| ATOM | 71.3 | 46.5 | ATOM: Accurate Tracking by Overlap Maximization | |
| KYS | 41.0 | 26.6 | Know Your Surroundings: Exploiting Scene Information for Object Tracking |
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