MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking-Reference-Cited by-同舟云学术

MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking

Published:2022 Issue: Volume: Page:1-1
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Wang Xiao¹,Shu Xiujun²,Zhang Shilliang³,Jiang Bo¹,Wang Yaowei⁴,Tian Yonghong⁵,Wu Feng⁶

Affiliation:

1. School of Computer Science and Technology, Anhui University, 12487 Hefei, anhui, China

2. AI center, Pengcheng Laboratory, Shenzhen, Guangdong Province, China

3. Computer Science, Peking University, 12465 Beijing, China, 100871

4. National Engineering Laboratory for Video Technology Shenzhen (NELVT), Peking University Shenzhen Graduate School, 429362 Nanshan, Shenzhen, Beijing, China, 518055

5. The Institute of Digital Media, School of CS & EE, Peking University, Beijing, China, 100871

6. College of Information Science, University of Science and Technology of China, Hefei, Anhui, China, 230026

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/4456689/09772993.pdf?arnumber=9772993

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