Multiscale convolution module.

<div><p>Gesture interaction applications have garnered significant attention from researchers in the field of human-computer interaction due to their inherent convenience and intuitiveness. Addressing the challenge posed by the insufficient feature extraction capability of existing netwo...

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Bibliographic Details
Main Author:	Peixin Niu (12330204) (author)
Published:	2025
Subjects:	Molecular Biology Biotechnology Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified scale convolutional module publicly available datasets network &# 8217 lightweight network models innovative design incorporates garnered significant attention feature extraction capabilities extract underlying features exponential linear unit existing network models enhanced mobilenet network empirical findings demonstrate creative senz3d datasets convolutional neural network computer interaction due activation function enhances paper attains 92 gesture recognition human paper introduces thereby augmenting proposed model maintaining real inherent convenience impressive 98 challenge posed approach surpasses
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Multiscale convolution module.

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