Robotic Grasping On Cornell Grasp Dataset 1
Métriques
5 fold cross validation
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | 5 fold cross validation |
|---|---|
| deep-learning-for-detecting-robotic-grasps | 60.5 |
| real-time-grasp-detection-using-convolutional | 88 |
| robotic-grasp-detection-using-deep | 89.21 |
| end-to-end-trainable-deep-neural-network-for | 98.2 |
| real-world-multiobject-multigrasp-detection | 96 |
| antipodal-robotic-grasping-using-generative | 97.7 |
| closing-the-loop-for-robotic-grasping-a-real | 73 |