MotionBERT: A Unified Perspective on Learning Human Motion Representations

Benchmark Model Rank Results
3d-human-pose-estimation-on-3dpwMotionBERT-HybrIK#7MPVPE: 79.4PA-MPJPE: 40.6MPJPE: 68.8
3d-human-pose-estimation-on-3dpwMotionBERT (Finetune)#25MPVPE: 88.1PA-MPJPE: 47.2MPJPE: 76.9
classification-on-full-body-parkinsonsMotionBERT#3F1-score (weighted): 0.47
classification-on-full-body-parkinsonsMotionBERT-LITE#5F1-score (weighted): 0.43
monocular-3d-human-pose-estimation-on-human3MotionBERT (Finetune)#1Average MPJPE (mm): 37.5Use Video Sequence: YesFrames Needed: 243
monocular-3d-human-pose-estimation-on-human3MotionBERT (Scratch)#4Average MPJPE (mm): 39.2Use Video Sequence: YesFrames Needed: 243
one-shot-3d-action-recognition-on-ntu-rgbd-120MotionBERT (Finetune)#4Accuracy: 67.4%
skeleton-based-action-recognition-on-ntu-rgbd-60MotionBert (finetune)#24Accuracy (CS): 93.0Accuracy (CV): 97.2