Research Article
Deep Hashing Based Fusing Index Method for Large-Scale Image Retrieval
Table 2
Accuracy in terms of MAP compared to hashing methods.
| Method | CIFAR-10 | NUS-WIDE | 12 bits | 24 bits | 32 bits | 48 bits | 12 bits | 24 bits | 32 bits | 48 bits |
| SH | 0.127 | 0.128 | 0.126 | 0.129 | 0.454 | 0.406 | 0.405 | 0.400 | ITQ | 0.162 | 0.169 | 0.172 | 0.175 | 0.452 | 0.468 | 0.472 | 0.477 | SPLH | 0.171 | 0.173 | 0.178 | 0.184 | 0.568 | 0.589 | 0.597 | 0.601 | LFH | 0.176 | 0.231 | 0.211 | 0.253 | 0.571 | 0.568 | 0.568 | 0.585 | KSH | 0.303 | 0.337 | 0.346 | 0.356 | 0.556 | 0.572 | 0.581 | 0.588 | SDH | 0.285 | 0.329 | 0.341 | 0.356 | 0.568 | 0.600 | 0.608 | 0.637 | FastH | 0.305 | 0.349 | 0.369 | 0.384 | 0.621 | 0.650 | 0.665 | 0.687 | CNNH | 0.439 | 0.476 | 0.472 | 0.489 | 0.611 | 0.618 | 0.625 | 0.608 | NINH | 0.552 | 0.566 | 0.558 | 0.581 | 0.674 | 0.697 | 0.713 | 0.715 | DHN | 0.555 | 0.594 | 0.603 | 0.621 | 0.708 | 0.735 | 0.748 | 0.758 | DSH | 0.616 | 0.651 | ā | 0.661 | 0.548 | 0.551 | ā | 0.562 | DPSH | 0.713 | 0.727 | 0.744 | 0.757 | 0.747 | 0.822 | 0.838 | 0.845 | DHFI | 0.613 | 0.750 | 0.768 | 0.774 | 0.807 | 0.836 | 0.854 | 0.860 |
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