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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...

Ausführliche Beschreibung

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Bibliografische Detailangaben
Hauptverfasser: Shuling Wang, Fengze Jiang, Xiaojin Gong
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2024-07-01
Schriftenreihe:Algorithms
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Online-Zugang:https://www.mdpi.com/1999-4893/17/7/298
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