Deep learning to ternary hash codes by continuation
Abstract Recently, ithas been observed that {0,±1}‐ternary codes, which are simply generated from deep features by hard thresholding, tend to outperform {−1,1}‐binary codes in image retrieval. To obtain better ternary codes, the authors for the first time propose to jointly learn the features with t...
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| Main Authors: | , , |
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| Format: | article |
| Language: | EN |
| Published: |
Wiley
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/a5c841e2503147e9bb25a3892e2fa9f6 |
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