Monocular 3D Object Detection On Google
Metriken
AP at 10' Elevation error
AP at 15' Azimuth error
Average Precision at 0.5 3D IoU
MPE
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | 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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