Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimation

Benchmark Model Rank Results
3d-human-pose-estimation-on-human36mStridedTransformer (T=351)#18Average MPJPE (mm): 43.7Using 2D ground-truth joints: No
3d-human-pose-estimation-on-human36mStridedTransformer (T=243)#20Average MPJPE (mm): 44Using 2D ground-truth joints: No
3d-human-pose-estimation-on-human36mStridedTransformer (T=81)#29Average MPJPE (mm): 45.4Using 2D ground-truth joints: No
3d-human-pose-estimation-on-human36mStridedTransformer (T=27)#33Average MPJPE (mm): 46.9Using 2D ground-truth joints: No
3d-human-pose-estimation-on-humaneva-iStridedTransformer (T=27 GT)#2Mean Reconstruction Error (mm): 12.2
3d-human-pose-estimation-on-humaneva-iStridedTransformer (T=27 MRCNN)#5Mean Reconstruction Error (mm): 18.9