Multi Object Tracking On Tao
Métriques
AssocA
ClsA
LocA
TETA
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
Nom du modèle | AssocA | ClsA | LocA | TETA |
---|---|---|---|---|
tracking-every-thing-in-the-wild | 37.53 | 15.70 | 57.53 | 36.85 |
general-object-foundation-model-for-images | 39.9 | 24.1 | 56.3 | 40.1 |
associate-everything-detected-facilitating | 38.1 | 16.2 | 56.7 | 37.0 |
tracking-every-thing-in-the-wild | 36.71 | 15.03 | 52.10 | 34.61 |
general-object-foundation-model-for-images | 40.9 | 30.8 | 52.9 | 41.5 |
tracking-every-thing-in-the-wild | 35.02 | 13.16 | 51.58 | 33.25 |
general-object-foundation-model-for-images | 46.2 | 29.1 | 66.2 | 47.2 |
1st-place-solution-to-eccv-tao-2020-detect | 30.56 | 21.86 | 23.40 | 25.27 |
associate-everything-detected-facilitating | 52.4 | 41.7 | 71.8 | 55.3 |