Meanwhile, both VGG-14 and VGG-16 have similar performance in the identification rate, but VGG-16 shows a quite significant improvement in identification rate of 0.5 % to 1.5 % on the Gait-mob-ACC dataset.
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A Unified Local-Global Feature Extraction Network for Human Gait Recognition Using Smartphone Sensors.
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