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 | SAMURAI-L | AUC | 0.69 | — | Unverified |
| 2 | ARTrackV2-L | AUC | 0.68 | — | Unverified |
| 3 | PiVOT-L | AUC | 0.68 | — | Unverified |
| 4 | HIPTrack | AUC | 0.68 | — | Unverified |
| 5 | LoRAT-g-378 | AUC | 0.68 | — | Unverified |
| 6 | AiATrack | AUC | 0.68 | — | Unverified |
| 7 | SPMTrack-B | AUC | 0.67 | — | Unverified |
| 8 | LoRAT-L-378 | AUC | 0.67 | — | Unverified |
| 9 | SeqTrack-L384 | AUC | 0.66 | — | Unverified |
| 10 | DiMP-NCE+ | AUC | 0.65 | — | Unverified |