Datasets › VOT2017
VOT2017 (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
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Visual Object Tracking | VOT2017/18 | SiamMask_E Expected Average Overlap (EAO) 0.446 | Fast Visual Object Tracking with Rotated Bounding Boxes | baoxinchen/siammask_e | 15 | Compare |
| Visual Object Tracking | VOT2017 | GFS-DCF Expected Average Overlap (EAO) 0.397 | Joint Group Feature Selection and Discriminative Filter... | XU-TIANYANG/GFS-DCF | 6 | Compare |
Papers archive 2025-07-28
20 shown of 20 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 56. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Unknown
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- VOT2017/18
- VOT2017
2 variant names, as the archive lists them.
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