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Models/DPOD

DPOD

Reported on 6 benchmarks across 3 tasks · 1 paper · 3 SOTA

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

Computer Vision2 results

  • Pose EstimationonLineMOD
    Mean ADD· 2019-02-28
    95.2
    best: 99.7 (RCVPose+ICP)
    SOTA
    DPOD: 6D Pose Object Detector and RefinerarXiv:1902.11020
  • Pose EstimationonOcclusion LineMOD
    Mean ADD· 2019-02-28
    47.25
    best: 62.3 (SO-Pose)
    DPOD: 6D Pose Object Detector and RefinerarXiv:1902.11020

Methodology2 results

  • 3DonLineMOD
    Mean ADD· 2019-02-28
    95.2
    best: 99.7 (RCVPose+ICP)
    SOTA
    DPOD: 6D Pose Object Detector and RefinerarXiv:1902.11020
  • 3DonOcclusion LineMOD
    Mean ADD· 2019-02-28
    47.25
    best: 62.3 (SO-Pose)
    DPOD: 6D Pose Object Detector and RefinerarXiv:1902.11020

Audio2 results

  • 1 Image, 2*2 StitchionLineMOD
    Mean ADD· 2019-02-28
    95.2
    best: 99.7 (RCVPose+ICP)
    SOTA
    DPOD: 6D Pose Object Detector and RefinerarXiv:1902.11020
  • 1 Image, 2*2 StitchionOcclusion LineMOD
    Mean ADD· 2019-02-28
    47.25
    best: 62.3 (SO-Pose)
    DPOD: 6D Pose Object Detector and RefinerarXiv:1902.11020