Visual Object Tracking Challenge
VOT2017 is a Visual Object Tracking dataset for different tasks that contains 60 short sequences annotated with 6 different attributes.
Source: GradNet: Gradient-Guided Network for Visual Object Tracking
Image Source: https://ieeexplore.ieee.org/document/8265440
Variants: VOT2017/18, VOT2017
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Visual Object Tracking | SE-SiamFC | Scale Equivariance Improves Siamese Tracking | 2020-07-17 |
| Visual Object Tracking | GradNet | GradNet: Gradient-Guided Network for Visual … | 2019-09-15 |
| Visual Object Tracking | GFS-DCF | Joint Group Feature Selection and … | 2019-07-30 |
| Visual Object Tracking | SiamVGG | SiamVGG: Visual Tracking using Deeper … | 2019-02-07 |
| Visual Object Tracking | SiamRPN+ | Deeper and Wider Siamese Networks … | 2019-01-07 |
| Visual Object Tracking | SiamFC-lu (Ours) | Learning to Update for Object … | 2018-06-19 |
Recent papers with results on this dataset: