State of the art in Gait recognition: Novel AutoEncoder framework, GaitNet https://www.profillic.com/paper/arxiv:1909.03051 "With extensive experiments on CASIA-B, USF, and FVG datasets, our method demonstrates superior performance to the SOTA quantit..

Deep Learning/Papers2read 2019. 10. 4. 16:23

State of the art in Gait recognition: Novel AutoEncoder framework, GaitNet

https://www.profillic.com/paper/arxiv:1909.03051

"With extensive experiments on CASIA-B, USF, and FVG datasets, our method demonstrates superior performance to the SOTA quantitatively, the ability of feature disentanglement qualitatively, and promising computational efficiency."
https://m.facebook.com/groups/1738168866424224?view=permalink&id=2414785935429177&sfnsn=mo

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