CODAN: Counting-driven Attention Network for Vehicle Detection in Congested Scenes-Reference-Cited by-同舟云学术

CODAN: Counting-driven Attention Network for Vehicle Detection in Congested Scenes

Published:2020-10-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM International Conference on Multimedia
language:
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Author:

Li Wei¹,Wang Zhenting¹,Wu Xiao¹,Zhang Ji¹,Peng Qiang¹,Li Hongliang²

Affiliation:

1. Southwest Jiaotong University, Chengdu, China

2. University of Electronic Science and Technology of China, Chengdu, China

Funder

National Natural Science Foundation of China

Sichuan Science and Technology Program

Foundation for Department of Transportation of Henan Province

Fundamental Research Funds for the Central Universities

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3394171.3413945

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3. Scale Aggregation Network for Accurate and Efficient Crowd Counting

4. Kai Chen Jiaqi Wang Jiangmiao Pang Yuhang Cao Yu Xiong Xiaoxiao Li Shuyang Sun Wansen Feng Ziwei Liu Jiarui Xu etal 2019. MMDetection: Open MMLab detection toolbox and benchmark. arXiv preprint arXiv:1906.07155 (2019). Kai Chen Jiaqi Wang Jiangmiao Pang Yuhang Cao Yu Xiong Xiaoxiao Li Shuyang Sun Wansen Feng Ziwei Liu Jiarui Xu et al. 2019. MMDetection: Open MMLab detection toolbox and benchmark. arXiv preprint arXiv:1906.07155 (2019).

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