Generalized Object Detection on Pascal VOC 2007+2012 (Split-1)
67.7HM mAPDeFRCN+Meta-ScaledDynamic+Aug
Evaluation results
| Method | Links | |
|---|---|---|
| DeFRCN+Meta-ScaledDynamic+AugShots=102023.04 | 67.7 | |
| DeFRCN+Meta-ScaledDynamic+AugShots=52023.04 | 67.6 | |
| DeFRCN+Meta-ScaledDynamic+AugShots=32023.04 | 63.2 | |
| DeFRCN+Meta-ScaledDynamic+AugShots=22023.04 | 62.4 | |
| DeFRCN+Meta-ScaledDynamic+AugShots=12023.04 | 58.4 | |
| FSRWShots=10, Training Mode=Meta-Learning2023.04 | 54.2 | |
| M. R-CNNShots=10, Training Mode=Meta-Learning2023.04 | 50.4 | |
| FsDetShots=10, Training Mode=Meta-Learning2023.04 | 49.5 | |
| M. R-CNNShots=5, Training Mode=Meta-Learning2023.04 | 44.4 | |
| FSRWShots=5, Training Mode=Meta-Learning2023.04 | 44.2 | |
| FsDetShots=5, Training Mode=Meta-Learning2023.04 | 43.5 | |
| FsDetShots=3, Training Mode=Meta-Learning2023.04 | 39.1 | |
| FSRWShots=3, Training Mode=Meta-Learning2023.04 | 37.8 | |
| FsDetShots=1, Training Mode=Meta-Learning2023.04 | 31.1 | |
| FsDetShots=2, Training Mode=Meta-Learning2023.04 | 28.4 | |
| M. R-CNNShots=3, Training Mode=Meta-Learning2023.04 | 27.3 | |
| M. R-CNNShots=2, Training Mode=Meta-Learning2023.04 | 25.3 | |
| FSRWShots=2, Training Mode=Meta-Learning2023.04 | 24.8 | |
| FSRWShots=1, Training Mode=Meta-Learning2023.04 | 24.2 | |
| M. R-CNNShots=1, Training Mode=Meta-Learning2023.04 | 17.3 |