Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation

Benchmark Model Rank Results
3d-human-pose-estimation-on-human36mSkeletal GNNAverage MPJPE (mm): 47.9Using 2D ground-truth joints: No
3d-human-pose-estimation-on-mpi-inf-3dhpSkeletal GNNAUC: 46.2PCK: 82.1
skeleton-based-action-recognition-on-ntu-rgbd-120Skeletal GNNAccuracy (Cross-Subject): 87.5Accuracy (Cross-Setup): 89.2
skeleton-based-action-recognition-on-ntu-rgbd-60Skeletal GNNAccuracy (CS): 91.6Accuracy (CV): 96.7Ensembled Modalities: 4
skeleton-based-action-recognition-on-ntu-rgbd-60Skeletal GNNAccuracy (CS): 87.5Accuracy (CV): 88.6