TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/CullNet

CullNet

Reported on 6 benchmarks across 3 tasks · 1 paper

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· 2019-09-30
    78.3
    best: 99.7 (RCVPose+ICP)
    CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose EstimationarXiv:1909.13476
  • Pose EstimationonOcclusion LineMOD
    Mean ADD· 2019-09-30
    24.48
    best: 62.3 (SO-Pose)
    CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose EstimationarXiv:1909.13476

Methodology2 results

  • 3DonLineMOD
    Mean ADD· 2019-09-30
    78.3
    best: 99.7 (RCVPose+ICP)
    CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose EstimationarXiv:1909.13476
  • 3DonOcclusion LineMOD
    Mean ADD· 2019-09-30
    24.48
    best: 62.3 (SO-Pose)
    CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose EstimationarXiv:1909.13476

Audio2 results

  • 1 Image, 2*2 StitchionLineMOD
    Mean ADD· 2019-09-30
    78.3
    best: 99.7 (RCVPose+ICP)
    CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose EstimationarXiv:1909.13476
  • 1 Image, 2*2 StitchionOcclusion LineMOD
    Mean ADD· 2019-09-30
    24.48
    best: 62.3 (SO-Pose)
    CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose EstimationarXiv:1909.13476