Robotic Grasping On Jacquard Dataset
Metrics
Accuracy (%)
Results
Performance results of various models on this benchmark
Model Name | Accuracy (%) | Paper Title | Repository |
|---|---|---|---|
| GR-ConvNet | 94.6 | Antipodal Robotic Grasping using Generative Residual Convolutional Neural Network | |
| Efficient-Grasping | 95.6 | Lightweight Convolutional Neural Network with Gaussian-based Grasping Representation for Robotic Grasping Detection | - |
| grasp_det_seg_cnn (rgb only) | 92.95 | End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and Semantic Segmentation from RGB |
0 of 3 row(s) selected.