Spatial-Temporal Graph Network for Video Crowd Counting
Author:
Affiliation:
1. Peng Cheng Laboratory, Shenzhen, China
2. School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China
Funder
Peng Cheng Laboratory
National Natural Science Foundation
Fundamental Research Funds for the Central Universities
National Natural Sciences Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Media Technology
Link
http://xplorestaging.ieee.org/ielx7/76/10007626/09810269.pdf?arnumber=9810269
Reference89 articles.
1. ADCrowdNet: An Attention-Injective Deformable Convolutional Network for Crowd Understanding
2. Crowd Counting using Deep Recurrent Spatial-Aware Network
3. CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
4. Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN
5. PaDNet: Pan-Density Crowd Counting
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