Metric: 5 fold cross validation (higher is better)
| # | Model↕ | 5 fold cross validation▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | grasp_det_seg_cnn (rgb only, IW split) | 98.2 | No | End-to-end Trainable Deep Neural Network for Rob... | 2021-07-12 | Code |
| 2 | GR-ConvNet | 97.7 | No | Antipodal Robotic Grasping using Generative Resi... | 2019-09-11 | Code |
| 3 | ResNet50 multi-grasp predictor | 96 | No | - | - | Code |
| 4 | Multi-Modal Grasp Predictor | 89.21 | No | Robotic Grasp Detection using Deep Convolutional... | 2016-11-24 | - |
| 5 | AlexNet, MultiGrasp | 88 | No | Real-Time Grasp Detection Using Convolutional Ne... | 2014-12-09 | Code |
| 6 | GGCNN | 73 | No | - | - | Code |
| 7 | Fast Search | 60.5 | No | Deep Learning for Detecting Robotic Grasps | 2013-01-16 | - |