Visual Object Tracking On Avist
Metrics
Success Rate
Results
Performance results of various models on this benchmark
Model Name | Success Rate | Paper Title | Repository |
|---|---|---|---|
| TransT | 49.03 | Transformer Tracking | |
| ToMP | 52.5 | Transforming Model Prediction for Tracking | |
| PiVOT-L | 62.2 | Improving Visual Object Tracking through Visual Prompting | |
| STARK-ST-101 | 50.50 | Learning Spatio-Temporal Transformer for Visual Tracking | |
| UVLTrack-L | 57.8 | Unifying Visual and Vision-Language Tracking via Contrastive Learning | |
| GRM | 54.5 | Generalized Relation Modeling for Transformer Tracking | |
| MixFormerL-22k | 56.0 | MixFormer: End-to-End Tracking with Iterative Mixed Attention |
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