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Found 3 papers, 1 papers with code
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction
To address these issues, we designed a public challenge (HANDS'19) to evaluate the abilities of current 3D hand pose estimators (HPEs) to interpolate and extrapolate the poses of a training set.
HandAugment: A Simple Data Augmentation Method for Depth-Based 3D Hand Pose Estimation
Our method has two main parts: First, We propose a scheme of two-stage neural networks.
Ranked #2 on
Hand Pose Estimation
on HANDS 2019
End-To-End Face Detection and Recognition
Plenty of face detection and recognition methods have been proposed and got delightful results in decades.
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