Visual Object Tracking On Vot2016
Metrics
Expected Average Overlap (EAO)
Results
Performance results of various models on this benchmark
| Paper Title | ||
|---|---|---|
| SiamMask_E | 0.466 | Fast Visual Object Tracking with Rotated Bounding Boxes |
| CFCF | 0.3903 | Good Features to Correlate for Visual Tracking |
| SiamRPN+ | 0.37 | Deeper and Wider Siamese Networks for Real-Time Visual Tracking |
| SE-SiamFC | 0.36 | Scale Equivariance Improves Siamese Tracking |
| SiamVGG | 0.351 | SiamVGG: Visual Tracking using Deeper Siamese Networks |
| SiamFC-lu (Ours) | 0.295 | Learning to Update for Object Tracking with Recurrent Meta-learner |
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