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[Paper (.pdf)]

2104.14540.pdf
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🔗 Source: arxiv.org
📊 Size: 14.44 MB
📄 Pages: 19 pages
⬇️ Downloads: 95

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Researchers propose ManyDepth, a self-supervised multi-frame monocular depth estimation model that leverages sequence information at test time to improve depth predictions. ManyDepth combines the strengths of monocular and multi-view depth estimation, addressing issues caused by moving objects, scale ambiguity, and static cameras. The model outperforms existing single and multi-frame approaches on KITTI and Cityscapes datasets, requiring no ground-truth supervision and being robust to object motion.

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Researchers propose ManyDepth, a self-supervised multi-frame monocular depth estimation model that leverages sequence information at test time to improve depth...

Technical Information

  • File Format: PDF
  • File Size: 14.44 MB
  • Pages: 19
  • Language: EN
  • Total Downloads: 95
  • Last Updated: 13 hours ago

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