Progressive Fusion for Unsupervised Binocular Depth Estimation Using Cycled Networks
Recent deep monocular depth estimation approaches based on supervised regression have achieved remarkable performance. However, they require costly ground truth annotations during training. To cope with this issue, in this paper we present a novel unsupervised deep learning approach for predicting d...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 42(2020), 10 vom: 29. Okt., Seite 2380-2395
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| 1. Verfasser: |
Pilzer, Andrea
(VerfasserIn) |
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| Weitere Verfasser: |
Lathuiliere, Stephane,
Xu, Dan,
Puscas, Mihai Marian,
Ricci, Elisa,
Sebe, Nicu |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2020
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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