Datasets › OTB-2013
OTB-2013
OTB2013 is the previous version of the current OTB2015 Visual Tracker Benchmark. It contains only 50 tracking sequences, as opposed to the 100 sequences in the current version of the benchmark.
Source: Marvasti-Zadeh
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 | OTB-2013 | SE-SiamFC AUC 0.68 | Scale Equivariance Improves Siamese Tracking | isosnovik/SiamSE | 7 | Compare |
| Visual Tracking | OTB-2013 | SiamFC-lu (Ours) AUC 0.657 | Learning to Update for Object Tracking with Recurrent... | — | 1 | Compare |
Papers archive 2025-07-28
8 shown of 8 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 110. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Scale Equivariance Improves Siamese Tracking | 1 | 1 | 17 Jul 2020 | ran 1 of 12 samples (11 unverified; 11 pointer-only for licence) |
| SiamVGG: Visual Tracking using Deeper Siamese Networks | 4 | 1 | 7 Feb 2019 | not harvested |
| Learning to Update for Object Tracking with Recurrent Meta-learner | 0 | 1 | 19 Jun 2018 | not harvested |
| Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking | 2 | 1 | 1 Jun 2018 | not harvested |
| A Twofold Siamese Network for Real-Time Object Tracking | 1 | 1 | 24 Feb 2018 | ran 0 of 2 samples (2 unverified) |
| Learning Dynamic Siamese Network for Visual Object Tracking | 0 | 1 | 1 Oct 2017 | not harvested |
| End-to-end representation learning for Correlation Filter based tracking | 0 | 1 | 20 Apr 2017 | not harvested |
| Fully-Convolutional Siamese Networks for Object Tracking | 10 | 1 | 30 Jun 2016 | ran 0 of 1 samples (1 unverified) |
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
- OTB-2013
1 variant name, as the archive lists them.
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