Object category learning and recognition on Washington RGB-D Object dataset
1,344.4#QCIProposed Approach
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Proposed Approach2019.07 | 1,344.4 | 0.398 | 0.1312 | 0.7 | 0.79 | |
| Local-LDA2019.07 | 613 | 0.285 | 0.0908 | 0.71 | 0.8 | |
| BOW2019.07 | 411.8 | 0.218 | 0.082 | 0.71 | 0.82 | |
| RACE2019.07 | 382.1 | 0.199 | 0.0888 | 0.67 | 0.78 | |
| LDA2019.07 | 262.6 | 0.144 | 0.0914 | 0.66 | 0.8 |