Dynamic Graph Representation for Partially Occluded Biometrics

1 Dec 2019Min RenYunlong WangZhenan SunTieniu Tan

The generalization ability of Convolutional neural networks (CNNs) for biometrics drops greatly due to the adverse effects of various occlusions. To this end, we propose a novel unified framework integrated the merits of both CNNs and graphical models to learn dynamic graph representations for occlusion problems in biometrics, called Dynamic Graph Representation (DGR)... (read more)

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