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Found 2 papers, 2 papers with code
An Attention-Based Deep Learning Model for Multiple Pedestrian Attributes Recognition
The automatic characterization of pedestrians in surveillance footage is a tough challenge, particularly when the data is extremely diverse with cluttered backgrounds, and subjects are captured from varying distances, under multiple poses, with partial occlusion.
Person Re-identification: Implicitly Defining the Receptive Fields of Deep Learning Classification Frameworks
The \emph{receptive fields} of deep learning classification models determine the regions of the input data that have the most significance for providing correct decisions.
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