DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd Counting-Reference-Cited by-同舟云学术

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DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd Counting

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
language:
Short-container-title:

Author:

Zhu Huilin¹^ORCID,Yuan Jingling¹^ORCID,Zhong Xian¹^ORCID,Yang Zhengwei²^ORCID,Wang Zheng²^ORCID,He Shengfeng³^ORCID

Affiliation:

1. School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China

2. National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China

3. School of Computing and Information Systems, Singapore Management University, Singapore city, Singapore

Funder

the National Natural Science Foundation of China

Guangdong Distinguished Young Scholar

Singapore MOE Tier 1 Fund

the Department of Science and Technology, Hubei Provincial People?s Government

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3611793

Reference53 articles.

1. Interactive Object Counting

2. Bayesian Theory

3. CrowdGAN: Identity-free Interactive Crowd Video Generation and Beyond

4. Decoupled Two-Stage Crowd Counting and Beyond

5. Part-based Pseudo Label Refinement for Unsupervised Person Re-identification

Cited by 3 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. Towards zero-shot object counting via deep spatial prior cross-modality fusion;Information Fusion;2024-11

2. MJPNet-S*: Multistyle Joint-Perception Network With Knowledge Distillation for Drone RGB-Thermal Crowd Density Estimation in Smart Cities;IEEE Internet of Things Journal;2024-06-01

3. Striking a Balance: Unsupervised Cross-Domain Crowd Counting via Knowledge Diffusion;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

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