Monocular 3D Object Detection On Google
평가 지표
AP at 10' Elevation error
AP at 15' Azimuth error
Average Precision at 0.5 3D IoU
MPE
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | 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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