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Found 3 papers, 1 papers with code
Mind Your Heart: Stealthy Backdoor Attack on Dynamic Deep Neural Network in Edge Computing
Transforming off-the-shelf deep neural network (DNN) models into dynamic multi-exit architectures can achieve inference and transmission efficiency by fragmenting and distributing a large DNN model in edge computing scenarios (e. g., edge devices and cloud servers).
On Learning Disentangled Representations for Gait Recognition
The LSTM integrates pose features over time as a dynamic gait feature while canonical features are averaged as a static gait feature.
Gait Recognition via Disentangled Representation Learning
Most of the existing gait recognition methods take silhouettes or articulated body models as the gait features.
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