Unsupervised Discrete Hashing With Affinity Similarity
In recent years, supervised hashing has been validated to greatly boost the performance of image retrieval. However, the label-hungry property requires massive label collection, making it intractable in practical scenarios. To liberate the model training procedure from laborious manual annotations,...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 29., Seite 6130-6141
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| 1. Verfasser: |
Jin, Sheng
(VerfasserIn) |
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| Weitere Verfasser: |
Yao, Hongxun,
Zhou, Qin,
Liu, Yao,
Huang, Jianqiang,
Hua, Xiansheng |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2021
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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