Learning Spatial-Frequency Transformer for Visual Object Tracking-Reference-Cited by-同舟云学术

Learning Spatial-Frequency Transformer for Visual Object Tracking

Author:

Tang Chuanming¹^ORCID,Wang Xiao²^ORCID,Bai Yuanchao³^ORCID,Wu Zhe⁴^ORCID,Zhang Jianlin¹,Huang Yongmei¹^ORCID

Affiliation:

1. Institute of Optics and Electronics, University of Chinese Academy of Sciences, Beijing, China

2. School of Computer Science and Technology, Anhui University, Hefei, China

3. School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

4. Peng Cheng Laboratory, Shenzhen, China

Funder

Frontier Research Fund of the Institute of Optics and Electronics, Chinese Academy of Sciences

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

Reference76 articles.

2. A normalized Gaussian Wasserstein distance for tiny object detection;wang;arXiv 2110 13389,2021

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