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 | DAM4SAM | Tracking quality | 0.69 | — | Unverified |
| 2 | SAMURAI | Tracking quality | 0.68 | — | Unverified |
| 3 | SAM2.1 | Tracking quality | 0.65 | — | Unverified |
| 4 | SAM2.1Long | Tracking quality | 0.65 | — | Unverified |
| 5 | ODTrack | Tracking quality | 0.61 | — | Unverified |
| 6 | Cutie | Tracking quality | 0.58 | — | Unverified |
| 7 | AOT | Tracking quality | 0.54 | — | Unverified |
| 8 | AQATrack | Tracking quality | 0.54 | — | Unverified |
| 9 | SeqTrack | Tracking quality | 0.53 | — | Unverified |
| 10 | KeepTrack | Tracking quality | 0.5 | — | Unverified |