Visual Object Tracking On Vot2017
Metrics
Expected Average Overlap (EAO)
Results
Performance results of various models on this benchmark
Model Name | Expected Average Overlap (EAO) | Paper Title | Repository |
|---|---|---|---|
| SiamRPN+ | 0.30 | Deeper and Wider Siamese Networks for Real-Time Visual Tracking | |
| SiamVGG | 0.286 | SiamVGG: Visual Tracking using Deeper Siamese Networks | |
| SiamFC-lu (Ours) | 0.263 | Learning to Update for Object Tracking with Recurrent Meta-learner | - |
| SE-SiamFC | 0.27 | Scale Equivariance Improves Siamese Tracking | |
| GFS-DCF | 0.397 | Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking | |
| GradNet | 0.247 | GradNet: Gradient-Guided Network for Visual Object Tracking |
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