SRNSD : Structure-Regularized Night-Time Self-Supervised Monocular Depth Estimation for Outdoor Scenes
Deep CNNs have achieved impressive improvements for night-time self-supervised depth estimation form a monocular image. However, the performance degrades considerably compared to day-time depth estimation due to significant domain gaps, low visibility, and varying illuminations between day and night...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 01., Seite 5538-5550
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| 1. Verfasser: |
Cong, Runmin
(VerfasserIn) |
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| Weitere Verfasser: |
Wu, Chunlei,
Song, Xibin,
Zhang, Wei,
Kwong, Sam,
Li, Hongdong,
Ji, Pan |
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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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