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Towards Learning Multi-domain Crowd Counting

Published:2021 Issue: Volume: Page:1-1
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Yan Zhaoyi,Li Pengyu,Wang Biao,Ren Dongwei,Zuo Wangmeng

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/4358651/09658506.pdf?arnumber=9658506

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A2SNet: An Adaptive Scale Selection Network for Crowd Counting in the Wild;2023 IEEE 6th International Conference on Big Data and Artificial Intelligence (BDAI);2023-07-07

2. Towards Accurate Crowd Counting Via Smoothed Dilated Convolutions and Transformer;2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI);2023-05-26

3. Domain adaptive crowd counting via dynamic scale aggregation network;IET Computer Vision;2023-04-13

4. Counting Varying Density Crowds Through Density Guided Adaptive Selection CNN and Transformer Estimation;IEEE Transactions on Circuits and Systems for Video Technology;2023-03

5. Forget less, count better: a domain-incremental self-distillation learning benchmark for lifelong crowd counting;Frontiers of Information Technology & Electronic Engineering;2023-02

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