Cross-Modal Retrieval With Noisy Correspondence via Consistency Refining and Mining
The success of existing cross-modal retrieval (CMR) methods heavily rely on the assumption that the annotated cross-modal correspondence is faultless. In practice, however, the correspondence of some pairs would be inevitably contaminated during data collection or annotation, thus leading to the so-...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 20., Seite 2587-2598
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| 1. Verfasser: |
Ma, Xinran
(VerfasserIn) |
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| Weitere Verfasser: |
Yang, Mouxing,
Li, Yunfan,
Hu, Peng,
Lv, Jiancheng,
Peng, Xi |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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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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