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Found 2 papers, 2 papers with code
A Multi-Stage Adaptive Feature Fusion Neural Network for Multimodal Gait Recognition
In this paper, by considering the temporal and spatial characteristics of gait data, we propose a multi-stage feature fusion strategy (MSFFS), which performs multimodal fusions at different stages in the feature extraction process.
Cross-Covariate Gait Recognition: A Benchmark
Compared to existing datasets, CCGR has both population and individual-level diversity.
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