2D Object Detection on KITTI (val1)
93.89AP (Easy)Mono3D
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Mono3D2019.07 | 93.89 | 88.67 | 79.68 | — | — | |
| 3DOP2019.07 | 93.08 | 88.07 | 79.39 | — | — | |
| M3D-RPN2020.08 | 91.49 | 84.09 | 67.94 | — | — | |
| M3D-RPN + RAR-NetRefined by=RAR-Net2020.08 | 91.49 | 84.09 | 67.94 | — | — | |
| M3D-RPN2019.07 | 90.24 | 83.67 | 67.69 | — | — | |
| MonoGRNet2020.08 | 88.17 | 78.24 | 68.02 | — | — | |
| MonoGRNet + RAR-NetRefined by=RAR-Net2020.08 | 88.17 | 78.24 | 68.02 | — | — | |
| GS3D2020.08 | 82.02 | 74.47 | 66.21 | — | — | |
| GS3D + RAR-NetRefined by=RAR-Net2020.08 | 82.02 | 74.47 | 66.21 | — | — | |
| 3DOPIoU threshold=0.7, Criteria=Moderate, Category=Car2020.01 | — | — | — | 88.07 | 85.8 | |
| DeepMANTAIoU threshold=0.7, Criteria=Moderate, Category=Car2020.01 | — | — | — | 90.89 | 90.66 | |
| GS3DIoU threshold=0.7, Criteria=Moderate, Category=Car2020.01 | — | — | — | 88.85 | 87.52 | |
| Mono3DIoU threshold=0.7, Criteria=Moderate, Category=Car2020.01 | — | — | — | 88.67 | 86.28 | |
| Ours(2D)IoU threshold=0.7, Criteria=Moderate, Category=Car, Method Variant=keypoint detection network2020.01 | — | — | — | 90.14 | 89.58 | |
| Ours(3D)IoU threshold=0.7, Criteria=Moderate, Category=Car, Method Variant=2D bounding box of the projected 3D box2020.01 | — | — | — | 90.41 | 89.95 |