CycleMLP: A MLP-Like Architecture for Dense Visual Predictions-Reference-Cited by-同舟云学术

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CycleMLP: A MLP-Like Architecture for Dense Visual Predictions

Published:2023-12 Issue:12 Volume:45 Page:14284-14300
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Chen Shoufa¹^ORCID,Xie Enze¹^ORCID,Ge Chongjian¹^ORCID,Chen Runjian¹^ORCID,Liang Ding²^ORCID,Luo Ping¹^ORCID

Affiliation:

1. Department of Computer Science, University of Hong Kong, Hong Kong

2. SenseTime Research, Beijing, China

Funder

National Key R&D Program of China

General Research Fund of Hong Kong

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/ielx7/34/10308548/10210694.pdf?arnumber=10210694

Reference129 articles.

1. Microsoft COCO: Common objects in context;lin;Proc Eur Conf Comput Vis,2014

2. Focal Loss for Dense Object Detection

3. Are we ready for a new paradigm shift? A survey on visual deep MLP;liu,2021

4. Pay attention to MLPs;liu;Proc Int Conf Neural Inf Process,2021

5. AS-MLP: An axial shifted MLP architecture for vision;lian;Proc Int Conf Learn Representations,2022

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