Semi-Supervised Semantic Segmentation for Light Field Images Using Disparity Information
Light field (LF) images enable numerous applications due to their ability to capture information for multiple views. Semantic segmentation is an essential task for LF scene understanding. However, existing supervised methods heavily rely on a large number of pixel-wise annotations. To relieve this p...
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 26., Seite 4516-4528 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
| Schlagworte: | Journal Article |
| Online verfügbar |
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