Aggregated Channels Network for Real-Time Pedestrian Detection

1 Jan 2018Farzin GhorbanJavier MarínYu SuAlessandro ColomboAnton Kummert

Convolutional neural networks (CNNs) have demonstrated their superiority in numerous computer vision tasks, yet their computational cost results prohibitive for many real-time applications such as pedestrian detection which is usually performed on low-consumption hardware. In order to alleviate this drawback, most strategies focus on using a two-stage cascade approach... (read more)

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