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Object Tracking On Coesot
Metrics
Precision Rate
Success Rate
Results
Performance results of various models on this benchmark
| Paper Title | Repository | |||
|---|---|---|---|---|
| HR-CEUTrack-Large | 73.8 | 65.0 | Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers | |
| HR-CEUTrack-Base | 71.9 | 63.2 | Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers | |
| CEUTrack-Large | 71.4 | 62.8 | Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric | |
| CEUTrack-Base | 70.5 | 62.0 | Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric | |
| TransT | 67.9 | 60.5 | Transformer Tracking | |
| SiamR-CNN | 67.5 | 60.9 | Siam R-CNN: Visual Tracking by Re-Detection | |
| AiATrack | 67.4 | 59.0 | AiATrack: Attention in Attention for Transformer Visual Tracking | |
| SuperDiMP | 67.0 | 60.2 | - | - |
| TrDiMP | 66.9 | 60.1 | Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking | |
| KYS | 66.7 | 58.6 | Know Your Surroundings: Exploiting Scene Information for Object Tracking | |
| OSTrack | 66.6 | 59.0 | Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework | |
| KeepTrack | 66.1 | 59.6 | Learning Target Candidate Association to Keep Track of What Not to Track |
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