Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images
Semantic segmentation methods based on deep neural networks have achieved great success in recent years. However, training such deep neural networks relies heavily on a large number of images with accurate pixel-level labels, which requires a huge amount of human effort, especially for large-scale r...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 23., Seite 7419-7434
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| 1. Verfasser: |
Wu, Linshan
(VerfasserIn) |
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| Weitere Verfasser: |
Fang, Leyuan,
Yue, Jun,
Zhang, Bob,
Ghamisi, Pedram,
He, Min |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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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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