Hand Gesture Segmentation
1 papers with code • 2 benchmarks • 0 datasets
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Most implemented papers
HGR-Net: A Fusion Network for Hand Gesture Segmentation and Recognition
We propose a two-stage convolutional neural network (CNN) architecture for robust recognition of hand gestures, called HGR-Net, where the first stage performs accurate semantic segmentation to determine hand regions, and the second stage identifies the gesture.