Visual Object Tracking
Visual Object Tracking is an important research topic in computer vision, image understanding and pattern recognition. Given the initial state (centre location and scale) of a target in the first frame of a video sequence, the aim of Visual Object Tracking is to automatically obtain the states of the object in the subsequent video frames.
Papers
Showing 1–10 of 341 papers
All datasetsLaSOTGOT-10kTrackingNetLaSOT-extOTB-2015UAV123TNL2KVOT2017/18DiDiNeedForSpeedYouTube-VOS 2018AVisT
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | TransVOS | F-Measure (Seen) | 86.7 | — | Unverified |
| 2 | CFBI | F-Measure (Unseen) | 83.4 | — | Unverified |
| 3 | RMN | Jaccard (Unseen) | 75.7 | — | Unverified |
| 4 | KMN | Jaccard (Unseen) | 75.3 | — | Unverified |
| 5 | PTSNet | Jaccard (Seen) | 73.5 | — | Unverified |
| 6 | OSVOS | O (Average of Measures) | 58.8 | — | Unverified |
| 7 | OnAVOS | O (Average of Measures) | 55.2 | — | Unverified |
| 8 | SiamMask | O (Average of Measures) | 52.8 | — | Unverified |
| 9 | OSMN | O (Average of Measures) | 51.2 | — | Unverified |