Frame Correlation Knowledge Distillation for Gait Recognition in the Wild
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8565-4_27
Reference23 articles.
1. Nixon, M.S., Carter, J.N.: Automatic recognition by gait. Proc. IEEE 94(11), 2013–2024 (2006)
2. Chao, H., He, Y., Zhang, J., Feng, J.: GaitSet: regarding gait as a set for cross-view gait recognition. In: AAAI Conference on Artificial Intelligence, vol. 33, pp. 8126–8133 (2019)
3. Fan, C., et al.: GaitPart: temporal Part-based Model for Gait Recognition. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 14225–14233 (2020)
4. Huang, X., et al.: Context-sensitive temporal feature learning for gait recognition. In: IEEE/CVF International Conference on Computer Vision, pp. 12909–12918 (2021)
5. Lin, B., Zhang, S., Yu, X.: Gait recognition via effective global-local feature representation and local temporal aggregation. In: IEEE/CVF International Conference on Computer Vision, pp. 14648–14656 (2021)
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