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DeepPrior is a simple approach based on Deep Learning that predicts the joint3D locations of a hand given a depth map. Since its publication early 2015, ithas been outperformed by several impressive works. Here we show that withsimple improvements: adding ResNet layers, data augmentation, and betterinitial hand localization, we achieve better or similar performance than moresophisticated recent methods on the three main benchmarks (NYU, ICVL, MSRA)while keeping the simplicity of the original method. Our new implementation isavailable at https://github.com/moberweger/deep-prior-pp .

DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation