DAOT: Domain-Agnostically Aligned Optimal Transport for domain-adaptive crowd counting

• Main Authors: ZHU, Huilin, YUAN, Jingling, ZHONG, Xian, YANG, Zhengwei, WANG, Zheng, HE, Shengfeng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Crowd counting; Domain adaptation; Domain-agnostic alignment; Optimal transport; HTTP; Graphics and Human Computer Interfaces; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/8423; https://ink.library.smu.edu.sg/context/sis_research/article/9426/viewcontent/2308.05311.pdf
• Institution: Singapore Management University

Domain adaptation is commonly employed in crowd counting to bridge the domain gaps between different datasets. However, existing domain adaptation methods tend to focus on inter-dataset differences while overlooking the intra-differences within the same dataset, leading to additional learning ambigu...