Multi Object Tracking On 2D Mot 2015
Metrics
IDF1
MOTA
Results
Performance results of various models on this benchmark
Model Name | IDF1 | MOTA | Paper Title | Repository |
|---|---|---|---|---|
| Lif_T | 60.0 | 52.5 | Lifted Disjoint Paths with Application in Multiple Object Tracking | |
| MPNTrack | 58.6 | 51.5 | Learning a Neural Solver for Multiple Object Tracking | |
| GSDT | - | 60.7 | Joint Object Detection and Multi-Object Tracking with Graph Neural Networks | |
| DeepMOT-Tracktor | - | 44.1 | How To Train Your Deep Multi-Object Tracker |
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