VOT2017 (Visual Object Tracking Challenge)
Introduced by Matej Kristan et al. in The Visual Object Tracking VOT2017 Challenge Results
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 TrackingBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
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VOT2017/18
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SiamMask_E
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VOT2017
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GFS-DCF
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Papers
| Paper | Code | Results | Date | Stars |
|---|
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