Few Shot Object Detection On Lvis V1 0 Val
Métriques
AP
APc
APf
APr
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | AP | APc | APf | APr | Paper Title | Repository |
|---|---|---|---|---|---|---|
| Forest R-CNN | 23.2 | 22.7 | 27.7 | 14.2 | Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation | - |
| null | 25.8 | 25.51 | 31.39 | 13.82 | - | - |
| htc | 39.05 | 39.25 | 43.73 | 27.91 | - | - |
| Organizer Provided Baseline | 27.26 | 26.13 | 31.95 | 19.47 | - | - |
| person | 21.82 | 21.33 | 27.78 | 9.49 | - | - |
| best_single_model_val | 47.55 | 47.47 | 51.44 | 38.91 | - | - |
| test balloon 6 | 16.62 | 14.53 | 23.9 | 5.33 | - | - |
0 of 7 row(s) selected.