Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective-Reference-Cited by-同舟云学术

Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective

Published:2023-12 Issue:12 Volume:45 Page:15802-15819
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Wang Qilong¹^ORCID,Zhang Zhaolin¹^ORCID,Gao Mingze¹^ORCID,Xie Jiangtao²^ORCID,Zhu Pengfei¹^ORCID,Li Peihua²^ORCID,Zuo Wangmeng³^ORCID,Hu Qinghua¹^ORCID

Affiliation:

1. College of Intelligence and Computing, Tianjin University, Tianjin, China

2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China

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

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/10308548/10269023.pdf?arnumber=10269023

Reference103 articles.

1. Revisiting Bilinear Pooling: A Coding Perspective

2. On the eigenvalues of global covariance pooling for fine-grained visual recognition;song;IEEE Trans Pattern Anal Mach Intell,2023

3. Error bounds for approximations with deep ReLU networks

4. A downsampled variant of ImageNet as an alternative to the CIFAR datasets;chrabaszcz,2017

5. Fast Differentiable Matrix Square Root and Inverse Square Root

Cited by 1 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. EHOPN: A novel enhanced high-order pooling-based network for industrial fault detection;Journal of Process Control;2024-10