Abstract: Highlights•A semi-supervised 3D hand pose estimation framework for large-scale hand pose estimation datasets.•A multi-task consistency constraint combining detection-based and regression-based hand pose estimation methods.•A multi-view consistency to encourage the results to be invariant to in-plane transformations.•Our method is comparable to fully supervised methods while reducing the annotation cost by half.
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