Object Detection on OID19 v5 (val)
57.83APEQL
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| EQLBackbone=ResNet-502020.03 | 57.83 | 64.95 | 60.18 | 61.17 | 58.23 | 44.6 | |
| CASBackbone=ResNet-502020.03 | 56.5 | 64.44 | 59.3 | 59.74 | 57.02 | 42 | |
| EQL v2Backbone=ResNet-101, Hyper-parameters Source=OpenImages2020.12 | 55.6 | 51.5 | 55.5 | 57.5 | 55.8 | 57.6 | |
| EQL v2Backbone=ResNet-101, Hyper-parameters Source=LVIS2020.12 | 55.1 | 51 | 55.2 | 56.6 | 55.6 | 57.5 | |
| EQL v2Backbone=ResNet-50, Hyper-parameters Source=OpenImages2020.12 | 53.8 | 49.6 | 53.3 | 54.5 | 54.9 | 56.6 | |
| EQL v2Backbone=ResNet-50, Hyper-parameters Source=LVIS2020.12 | 52.6 | 48.6 | 52 | 53 | 53.4 | 55.8 | |
| SGMBackbone=ResNet-502020.03 | 48.13 | 59.86 | 51.24 | 49.31 | 46.51 | 33.72 | |
| EQLBackbone=ResNet-1012020.12 | 48 | 36.1 | 47.2 | 50.5 | 51 | 55 | |
| Faster R-CNNBackbone=ResNet-1012020.12 | 46 | 29.2 | 45.5 | 49.3 | 50.9 | 54.7 | |
| EQLBackbone=ResNet-502020.12 | 45.3 | 32.7 | 44.6 | 47.3 | 48.3 | 53.1 | |
| Faster R-CNNBackbone=ResNet-502020.12 | 43.1 | 26.3 | 42.5 | 45.2 | 48.2 | 52.6 |