Towards a Deeper Understanding of Skeleton-based Gait Recognition
Author:
Affiliation:
1. Technical University of Munich
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9856930/9856648/09857088.pdf?arnumber=9857088
Reference33 articles.
1. Learning Deep Features for Discriminative Localization
2. Gait Recognition via Disentangled Representation Learning
3. Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition
4. A framework for evaluating the effect of view angle, clothing and carrying condition on gait recognition;yu;ICPR,2006
5. Averaging weights leads to wider optima and better generalization;izmailov,2018
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