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/Graph Stacked Hourglass Network

Graph Stacked Hourglass Network

Reported on 8 benchmarks across 4 tasks · 1 paper

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

Computer Vision4 results

  • 3D Human Pose EstimationonMPI-INF-3DHP
    AUC· 2021-03-30
    45.8
    best: 87.7 (TCPFormer (T=81))
    Graph Stacked Hourglass Networks for 3D Human Pose EstimationarXiv:2103.16385
  • 3D Human Pose EstimationonMPI-INF-3DHP
    PCK· 2021-03-30
    80.1
    best: 99.37 (LMT R152 384x384)
    Graph Stacked Hourglass Networks for 3D Human Pose EstimationarXiv:2103.16385
  • Pose EstimationonMPI-INF-3DHP
    AUC· 2021-03-30
    45.8
    best: 87.7 (TCPFormer (T=81))
    Graph Stacked Hourglass Networks for 3D Human Pose EstimationarXiv:2103.16385
  • Pose EstimationonMPI-INF-3DHP
    PCK· 2021-03-30
    80.1
    best: 99.37 (LMT R152 384x384)
    Graph Stacked Hourglass Networks for 3D Human Pose EstimationarXiv:2103.16385

Methodology2 results

  • 3DonMPI-INF-3DHP
    AUC· 2021-03-30
    45.8
    best: 87.7 (TCPFormer (T=81))
    Graph Stacked Hourglass Networks for 3D Human Pose EstimationarXiv:2103.16385
  • 3DonMPI-INF-3DHP
    PCK· 2021-03-30
    80.1
    best: 99.37 (LMT R152 384x384)
    Graph Stacked Hourglass Networks for 3D Human Pose EstimationarXiv:2103.16385

Audio2 results

  • 1 Image, 2*2 StitchionMPI-INF-3DHP
    AUC· 2021-03-30
    45.8
    best: 87.7 (TCPFormer (T=81))
    Graph Stacked Hourglass Networks for 3D Human Pose EstimationarXiv:2103.16385
  • 1 Image, 2*2 StitchionMPI-INF-3DHP
    PCK· 2021-03-30
    80.1
    best: 99.37 (LMT R152 384x384)
    Graph Stacked Hourglass Networks for 3D Human Pose EstimationarXiv:2103.16385