Unsupervised Visual Representation Learning via Multi-Dimensional Relationship Alignment
Recently, contrastive learning based on augmentation invariance and instance discrimination has made great achievements, owing to its excellent ability to learn beneficial representations without any manual annotations. However, the natural similarity among instances conflicts with instance discrimi...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 04., Seite 1613-1626
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| 1. Verfasser: |
Cheng, Haoyang
(VerfasserIn) |
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| Weitere Verfasser: |
Li, Hongliang,
Qiu, Heqian,
Wu, Qingbo,
Zhang, Xiaoliang,
Meng, Fanman,
Ngan, King Ngi |
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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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