Grasp Detection on Jacquard Dataset
95.6AccuracyEfficient Grasping-D
Evaluation Results
| Method | Links | |
|---|---|---|
| Efficient Grasping-DInput=Depth2021.01 | 95.6 | |
| OursParameters (Approx.)=4.67 million, Time=5ms2021.01 | 95.6 | |
| GR-ConvNet-RGB-DAuthor=Kumra2021.01 | 94.6 | |
| GR-ConvNetModality=RGB-D2019.09 | 94.6 | |
| GR-ConvNetModality=Depth2019.09 | 93.7 | |
| ROIGD-RGDAuthor=Zhang2021.01 | 93.6 | |
| Efficient Grasping-RGB-DInput=RGB-D2021.01 | 93.6 | |
| Resnet-101-RGDAuthor=Song2021.01 | 93.2 | |
| FCGN-RGDAuthor=Zhou2021.01 | 92.8 | |
| FCGNBackbone=ResNet-1012019.09 | 91.8 | |
| GR-ConvNetModality=RGB2019.09 | 91.8 | |
| Efficient Grasping-RGBInput=RGB2021.01 | 91.6 | |
| GG-CNN2Author=Morrison2021.01 | 84 | |
| GG-CNN22019.09 | 84 | |
| JacquardAuthor=Depierre2021.01 | 74.2 | |
| Jacquard2019.09 | 74.2 |