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...
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
Wiley
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/a5c841e2503147e9bb25a3892e2fa9f6 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|