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 | DropTrack | Normalized Precision | 88.9 | — | Unverified |
| 2 | MCITrack-L384 | Accuracy | 87.9 | — | Unverified |
| 3 | SPMTrack-G | Accuracy | 87.3 | — | Unverified |
| 4 | SPMTrack-L | Accuracy | 86.9 | — | Unverified |
| 5 | MCITrack-B224 | Accuracy | 86.3 | — | Unverified |
| 6 | ODTrack-L | Accuracy | 86.1 | — | Unverified |
| 7 | ARTrackV2-L | Accuracy | 86.1 | — | Unverified |
| 8 | MixViT-L(ConvMAE) | Accuracy | 86.1 | — | Unverified |
| 9 | SPMTrack-B | Accuracy | 86.1 | — | Unverified |
| 10 | LoRAT-g-378 | Accuracy | 86 | — | Unverified |