Multiple Object Tracking On Bdd100K Val
Metriken
TETA
mIDF1
mMOTA
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | TETA | mIDF1 | mMOTA |
|---|---|---|---|
| towards-grand-unification-of-object-tracking | - | 54.0 | 41.2 |
| contrastive-learning-for-multi-object | - | 52.9 | 41.7 |
| quasi-dense-instance-similarity-learning | 47.8 | 50.8 | 36.6 |
| universal-instance-perception-as-object | - | 56.7 | 44.2 |
| tracking-every-thing-in-the-wild | 50.8 | 53.3 | 39.1 |
| motrv2-bootstrapping-end-to-end-multi-object | - | 56.5 | 43.6 |
| tackling-multiple-object-tracking-with | - | 56.5 | 34.4 |
| qdtrack-quasi-dense-similarity-learning-for | 51.3 | 54.3 | 42.1 |
| bytetrack-multi-object-tracking-by-1 | 55.7 | 54.8 | 45.5 |