CS<sup> <i>n</i> </sup>Net: A Remote Sensing Detection Network Breaking the Second-Order Limitation of Transformers With Recursive Convolutions-Reference-Cited by-同舟云学术

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CSⁿNet: A Remote Sensing Detection Network Breaking the Second-Order Limitation of Transformers With Recursive Convolutions

Published:2023 Issue: Volume:61 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Chen Chengcheng¹^ORCID,Zeng Weiming¹^ORCID,Zhang Xiliang²^ORCID,Zhou Yuhao³

Affiliation:

1. Digital Imaging and Intelligent Computing Laboratory, Shanghai Maritime University, Shanghai, China

2. College of Information Engineering, Shanghai Maritime University, Shanghai, China

3. College of Software Engineering, Tongji University, Shanghai, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10242028.pdf?arnumber=10242028

Reference56 articles.

1. SSD: Single shot MultiBox detector;liu;arXiv 1512 02325,2015

2. Focal Loss for Dense Object Detection

3. PP-PicoDet: A better real-time object detector on mobile devices;yu;arXiv 2111 00902,2021

4. YOLO9000: Better, Faster, Stronger

5. You Only Look Once: Unified, Real-Time Object Detection

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