Multiple Object Tracking On Kitti Test Online
Metriken
HOTA
IDSW
MOTA
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | HOTA | IDSW | MOTA |
|---|---|---|---|
| interacting-multiple-model-based-joint | 79.21 | 177 | 89.8 |
| eagermot-3d-multi-object-tracking-via-sensor | 74.39 | 239 | 87.82 |
| robust-multi-modality-multi-object-tracking | 62.05 | - | 84.77 |
| Modell 4 | 81.06 | 22 | 90.29 |
| lego-learning-and-graph-optimized-modular | 80.75 | 214 | 90.61 |
| near-online-multi-target-tracking-with | - | - | 78.15 |
| monocular-quasi-dense-3d-object-tracking | 72.77 | - | 86.41 |
| mono-camera-3d-multi-object-tracking-using | - | - | 80.39 |
| jrmot-a-real-time-3d-multi-object-tracker-and | 69.61 | - | 85.70 |
| robust-multi-modality-multi-object-tracking | - | - | 84.77 |
| tracking-objects-as-points | 73.02 | - | 89.44 |
| learning-to-track-online-multi-object | - | - | 76.59 |
| combined-image-and-world-space-tracking-in | - | - | 75.39 |
| mctrack-a-unified-3d-multi-object-tracking | 81.07 | 64 | 89.82 |
| ucmctrack-multi-object-tracking-with-uniform | 77.1 | - | 90.4 |
| near-online-multi-target-tracking-with | - | - | 75.20 |
| Modell 17 | 80.90 | 37 | 78.46 |
| learning-local-feature-descriptors-for | - | - | 90.03 |
| online-multi-object-tracking-via-structural | - | - | 75.58 |
| end-to-end-learning-of-multi-sensor-3d | - | - | 76.15 |
| beyond-pixels-leveraging-geometry-and-shape | - | - | 84.24 |
| deft-detection-embeddings-for-tracking | 74.23 | - | 88.95 |
| Modell 23 | 77.3 | 184 | 86,29 |
| joint-monocular-3d-vehicle-detection-and | - | - | 84.52 |
| observation-centric-sort-rethinking-sort-for | 76.5 | 250 | 90.3 |
| joint-monocular-3d-vehicle-detection-and | - | - | 84.52 |
| mots-multi-object-tracking-and-segmentation | - | - | 84.83 |
| multi-class-multi-object-tracking-using | - | - | 78.90 |
| learning-data-association-for-multi-object | 77.58 | 381 | 89.68 |
| a-baseline-for-3d-multi-object-tracking | 69.99 | - | 83.84 |
| virtual-sparse-convolution-for-multimodal-3d | 79.9 | 201 | 89.1 |
| robmot-robust-3d-multi-object-tracking-by | 81.76 | 7 | 91.02 |
| followme-efficient-online-min-cost-flow | - | - | 72.69 |