Monocular 3D Object Detection On Google
Metrics
AP at 10' Elevation error
AP at 15' Azimuth error
Average Precision at 0.5 3D IoU
MPE
Results
Performance results of various models on this benchmark
Model Name | AP at 10' Elevation error | AP at 15' Azimuth error | Average Precision at 0.5 3D IoU | MPE | Paper Title | Repository |
|---|---|---|---|---|---|---|
| MobilePose | 0.6658 | 0.5088 | 0.4624 | 0.1001 | MobilePose: Real-Time Pose Estimation for Unseen Objects with Weak Shape Supervision | - |
| EfficientNetLite + keypoint regressor | 0.8584 | 0.7844 | 0.6512 | 0.0467 | Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations | |
| Lin2021 | 0.8560 | 0.8398 | 0.7218 | 0.0520 | - | - |
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