Object Detection 벤치마크
Object Detection on NAO
mAP
- 2021-11-07 — Mask RCNN R50: mAP 15.2
| Rank | Model | mAP | mAP w/o OOD | mAR | Paper | Code | Year |
|---|---|---|---|---|---|---|---|
| 21 | YOLOv3 | 10.0 | 17.5 | 28.4 | Natural Adversarial Objects | 2021 | |
| 22 | Mask RCNN R50 | 15.2 | 24.6 | 43.8 | Natural Adversarial Objects | 2021 | |
| 23 | EfficientDet-D4 | 15.0 | 29.6 | 42.7 | Natural Adversarial Objects | 2021 | |
| 24 | EfficientDet-D7 | 13.6 | 26.6 | 40.8 | Natural Adversarial Objects | 2021 | |
| 25 | Faster RCNN | 13.5 | 22.8 | 41.4 | Natural Adversarial Objects | 2021 | |
| 26 | EfficientDet-D2 | 12.8 | 25.4 | 40.2 | Natural Adversarial Objects | 2021 | |
| 27 | RetinaNet-R50 | 11.1 | 19.5 | 37.2 | Natural Adversarial Objects | 2021 | |
| 28 | YOLOv3 | 10.0 | 17.5 | 28.4 | Natural Adversarial Objects | 2021 | |
| 29 | Mask RCNN R50 | 15.2 | 24.6 | 43.8 | Natural Adversarial Objects | 2021 | |
| 30 | EfficientDet-D4 | 15.0 | 29.6 | 42.7 | Natural Adversarial Objects | 2021 | |
| 31 | EfficientDet-D7 | 13.6 | 26.6 | 40.8 | Natural Adversarial Objects | 2021 | |
| 32 | Faster RCNN | 13.5 | 22.8 | 41.4 | Natural Adversarial Objects | 2021 | |
| 33 | EfficientDet-D2 | 12.8 | 25.4 | 40.2 | Natural Adversarial Objects | 2021 | |
| 34 | RetinaNet-R50 | 11.1 | 19.5 | 37.2 | Natural Adversarial Objects | 2021 | |
| 35 | YOLOv3 | 10.0 | 17.5 | 28.4 | Natural Adversarial Objects | 2021 |