A Sparsity-Invariant Model via Unifying Depth Prediction and Completion
The development of a sparse-invariant depth completion model capable of handling varying levels of input depth sparsity is highly desirable in real-world applications. However, existing sparse-invariant models tend to degrade when the input depth points are extremely sparse. In this paper, we propos...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2024-07-01
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| Schriftenreihe: | Algorithms |
| Schlagworte: | |
| Online-Zugang: | https://www.mdpi.com/1999-4893/17/7/298 |
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