Spherical Centralized Quantization for Fast Image Retrieval
Existing supervised quantization methods usually learn the quantizers from pair-wise, triplet, or anchor-based losses, which only capture their relationship locally without aligning them globally. This may cause an inadequate use of the entire space and a severe intersection among different semantic...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 22., Seite 6485-6499
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| 1. Verfasser: |
Song, Jingkuan
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Zhibin,
Zhu, Xiaosu,
Zhao, Qike,
Wang, Meng,
Shen, Heng Tao |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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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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