Uniformity in Heterogeneity: Diving Deep into Count Interval Partition for Crowd Counting

Author:

Wang Changan1,Song Qingyu1,Zhang Boshen1,Wang Yabiao1,Tai Ying1,Hu Xuyi1,Wang Chengjie1,Li Jilin1,Ma Jiayi2,Wu Yang3

Affiliation:

1. Tencent Youtu Lab

2. Wuhan University,Electronic Information School,Wuhan,China

3. Tencent PCG,Applied Research Center (ARC)

Publisher

IEEE

Reference28 articles.

1. Learning to count objects in images;lempitsky,0

2. CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

3. Counting objects by blockwise classification;liu;TCSVT,2019

4. Weighing counts: Sequential crowd counting by reinforcement learning;liu;ECCV,2020

5. Crowd Counting With Deep Structured Scale Integration Network

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