A multi-branch ResNet architecture with HRNet pose estimation and channel-attention fusion reaches 94.52% Rank-1 gait recognition accuracy on CASIA-B normal walking and leads skeleton-based methods on coat-wearing cases.
GaitSet: cross-view gait recognition through utilizing gait as a deep set.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(7):3467–3478
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Gait Recognition via Deep Residual Networks and Multi-Branch Feature Fusion
A multi-branch ResNet architecture with HRNet pose estimation and channel-attention fusion reaches 94.52% Rank-1 gait recognition accuracy on CASIA-B normal walking and leads skeleton-based methods on coat-wearing cases.