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Models/NVDS(DPT-L)

NVDS(DPT-L)

Reported on 12 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision6 results

  • Depth EstimationonNYU-Depth V2
    Delta < 1.25· uses extra data· 2023-07-17
    0.9493
    best: 0.989 (UniK3D (FT, metric))
    NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth EstimationarXiv:2307.08695
  • Depth EstimationonNYU-Depth V2
    Delta < 1.25^2· uses extra data· 2023-07-17
    0.991
    best: 1 (HybridDepth)
    NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth EstimationarXiv:2307.08695
  • Depth EstimationonNYU-Depth V2
    Delta < 1.25^3· uses extra data· 2023-07-17
    0.997
    best: 1 (HybridDepth)
    NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth EstimationarXiv:2307.08695
  • Depth EstimationonNYU-Depth V2
    RMSE· uses extra data· 2023-07-17
    0.282
    best: 0.013 (Defocus/DepthNet (Normalized))
    NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth EstimationarXiv:2307.08695
  • Depth EstimationonNYU-Depth V2
    absolute relative error· uses extra data· 2023-07-17
    0.072
    best: 0.026 (HybridDepth)
    NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth EstimationarXiv:2307.08695
  • Depth EstimationonNYU-Depth V2
    log 10· uses extra data· 2023-07-17
    0.031
    best: 0.059 (SC-DepthV2)
    NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth EstimationarXiv:2307.08695

Methodology6 results

  • 3DonNYU-Depth V2
    Delta < 1.25· uses extra data· 2023-07-17
    0.9493
    best: 0.989 (UniK3D (FT, metric))
    NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth EstimationarXiv:2307.08695
  • 3DonNYU-Depth V2
    Delta < 1.25^2· uses extra data· 2023-07-17
    0.991
    best: 1 (HybridDepth)
    NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth EstimationarXiv:2307.08695
  • 3DonNYU-Depth V2
    Delta < 1.25^3· uses extra data· 2023-07-17
    0.997
    best: 1 (HybridDepth)
    NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth EstimationarXiv:2307.08695
  • 3DonNYU-Depth V2
    RMSE· uses extra data· 2023-07-17
    0.282
    best: 0.013 (Defocus/DepthNet (Normalized))
    NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth EstimationarXiv:2307.08695
  • 3DonNYU-Depth V2
    absolute relative error· uses extra data· 2023-07-17
    0.072
    best: 0.026 (HybridDepth)
    NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth EstimationarXiv:2307.08695
  • 3DonNYU-Depth V2
    log 10· uses extra data· 2023-07-17
    0.031
    best: 0.059 (SC-DepthV2)
    NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth EstimationarXiv:2307.08695