SSGait: enhancing gait recognition via semi-supervised self-supervised learning
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05385-2.pdf
Reference43 articles.
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2. Huang X, Zhu D, Wang H et al (2021) Context-sensitive temporal feature learning for gait recognition. In: 2021 IEEE/CVF International conference on computer vision (ICCV). IEEE, pp 12909–12918. https://doi.org/10.1109/iccv48922.2021.01267
3. Huang Z, Xue D, Shen X et al (2021) 3d local convolutional neural networks for gait recognition. In: 2021 IEEE/CVF International conference on computer vision (ICCV). IEEE, pp 14920–14929. https://doi.org/10.1109/iccv48922.2021.01465
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5. Chao H, Wang K, He Y et al (2021) GaitSet: Cross-view gait recognition through utilizing gait as a deep set. IEEE Trans Pattern Anal Machine Intell 44(7):3467–3478. https://doi.org/10.1109/tpami.2021.3057879
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