A data-free class-incremental learning method for gesture recognition using prototype-guided pseudo feature replay with four components that achieves 11.8% and 12.8% mean global accuracy gains on SHREC 2017 3D and EgoGesture 3D datasets.
Normalized edge convolutional networks for skeleton-based hand gesture recognition,
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Data-Free Class-Incremental Gesture Recognition with Prototype-Guided Pseudo Feature Replay
A data-free class-incremental learning method for gesture recognition using prototype-guided pseudo feature replay with four components that achieves 11.8% and 12.8% mean global accuracy gains on SHREC 2017 3D and EgoGesture 3D datasets.