6D Pose Estimation Using Rgbd On Ycb Video
Metrics
Mean ADD
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Mean ADD |
|---|---|
| posecnn-a-convolutional-neural-network-for-6d | 79.3 |
| vote-from-the-center-6-dof-pose-estimation-in | - |
| maskedfusion-mask-based-6d-object-pose | 93.3 |
| enhancing-6-dof-object-pose-estimation | 95.43 |
| pvn3d-a-deep-point-wise-3d-keypoints-voting | - |
| deepim-deep-iterative-matching-for-6d-pose | 80.6 |
| vote-from-the-center-6-dof-pose-estimation-in | - |
| posecnn-a-convolutional-neural-network-for-6d | - |