Research Article
Triplet Deep Hashing with Joint Supervised Loss Based on Deep Neural Networks
Table 4
Dataset settings used in our experiment.
| | Dataset | Total | Training (randomly) | Testing (randomly) | Labels |
| | CIFAR-10 | 60,000 | 5,000 (500 ∗ 10) | 1,000 (100 ∗ 10) | 10 | | NUS-WIDE | 269,648 | 10,500 (500 ∗ 21) | 2,100 (100 ∗ 21) | 21 | | MS-COCO | 82,783 | 10,000 | 5,000 | 80 |
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