ST-Xception: A Depthwise Separable Convolution Network for Military Sign Language Recognition
Published: Oct 11, 2020
Abstract
Military sign language is an important form of tactical communication, especially in restrict situations where either distance or a requirement for silence precludes oral means. Unfortunately, when soldiers cannot see each other, the communication mode of tactical gestures is no longer effective, which may hinder military operations. Vision-based approaches have been at the forefront in the field of hand gesture recognition. However, there still...
Paper Details
Title
ST-Xception: A Depthwise Separable Convolution Network for Military Sign Language Recognition
Published Date
Oct 11, 2020
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