Inverse Attention Guided Deep Crowd Counting Network
Published: Sep 1, 2019
Abstract
In this paper, we address the challenging problem of crowd counting in congested scenes. Specifically, we present Inverse Attention Guided Deep Crowd Counting Network (IA-DCCN) that efficiently infuses segmentation information through an inverse attention mechanism into the counting network, resulting in significant improvements. The proposed method, which is based on VGG-16, is a single-step training framework and is simple to implement. The...
Paper Details
Title
Inverse Attention Guided Deep Crowd Counting Network
Published Date
Sep 1, 2019
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