Grasp Pose Detection on GraspNet-1Billion Kinect 1.0
72.89AP (Seen)RNGNet
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| RNGNetParams=3.66M2025.05 | 72.89 | 59.42 | 26.12 | 52.81 | |
| FlexLoG2025.05 | 69.44 | 59.01 | 23.67 | 50.67 | |
| GSNetParams=15.4M2025.05 | 63.5 | 49.18 | 19.78 | 44.15 | |
| GtG 2.0Params=0.57M2025.05 | 62.61 | 53.93 | 24.45 | 47 | |
| HGGDParams=3.42M2025.05 | 60.26 | 48.59 | 18.43 | 42.43 | |
| Zhuang, C. et al.2025.05 | 45.3 | 40 | 13.33 | 32.88 | |
| GraNet2025.05 | 41.48 | 35.29 | 11.57 | 29.44 | |
| REGNet2025.05 | 37.76 | 28.69 | 10.86 | 25.77 | |
| TransGrasp2025.05 | 35.97 | 29.71 | 11.41 | 25.7 | |
| RGB Matters2025.05 | 32.08 | 30.4 | 13.08 | 25.19 | |
| PointnetGPDParams=1.6M2025.05 | 27.59 | 24.38 | 10.66 | 20.88 | |
| GPDParams=3.6M2025.05 | 24.38 | 23.18 | 9.58 | 19.05 |