3D Human Pose Estimation in Limited Data
1 papers with code • 1 benchmarks • 1 datasets
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Human3.6M
Most implemented papers
Global Adaptation meets Local Generalization: Unsupervised Domain Adaptation for 3D Human Pose Estimation
We observe that the degradation is caused by two factors: 1) the large distribution gap over global positions of poses between the source and target datasets due to variant camera parameters and settings, and 2) the deficient diversity of local structures of poses in training.
