Robotic Grasp Recognition on Cornell grasping dataset extended (five-fold cross-validation)
93.7AccuracySparse AE
Evaluation results
| Method | Links | |
|---|---|---|
| Sparse AERegularization=L12013.01 | 93.7 | |
| Sparse AE, group reg.Regularization=Group-regularized multimodal2013.01 | 93.7 | |
| Sparse AEFeatures=separate layer-1 feat.2013.01 | 92.8 | |
| Jiang et al. + FPFHFeatures=Jiang features + FPFH2013.01 | 89.6 | |
| Jiang et al.2013.01 | 84.7 | |
| Chance2013.01 | 50 |