Zero-shot object counting with good exemplars

• Main Authors: ZHU, Huilin, YUAN, Jingling, YANG, Zhengwei, GUO, Yu, WANG, Zheng, ZHONG, Xian, HE, Shengfeng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Zero-shot object counting; Object classification; Object counting framework; Class exemplar identification; Artificial Intelligence and Robotics; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/9768; https://ink.library.smu.edu.sg/context/sis_research/article/10768/viewcontent/2407.04948v2.pdf
• Institution: Singapore Management University

Zero-shot object counting (ZOC) aims to enumerate objects in images using only the names of object classes during testing, without the need for manual annotations. However, a critical challenge in current ZOC methods lies in their inability to identify high-quality exemplars effectively. This defici...