Object-Centric Masked Image Modeling-Based Self-Supervised Pretraining for Remote Sensing Object Detection-Reference-Cited by-同舟云学术

Object-Centric Masked Image Modeling-Based Self-Supervised Pretraining for Remote Sensing Object Detection

Published:2023 Issue: Volume:16 Page:5013-5025
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Zhang Tong¹^ORCID,Zhuang Yin¹^ORCID,Chen He¹,Chen Liang¹,Wang Guanqun¹^ORCID,Gao Peng²,Dong Hao³^ORCID

Affiliation:

1. Beijing Key Laboratory of Embedded Real-time Information Processing Technology, Beijing Institute of Technology, Beijing, China

2. Shang Hai AI laboratory, Shanghai, China

3. Center on Frontiers of Computing Studies (CFCS), Peking University, Beijing, China

Funder

Space based on orbit real-time processing technology

National Science Foundation

Young Scientists of China

National Natural Science Foundation of China

multisource satellite data hardware acceleration computing method with low energy consumption

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference59 articles.

5. MMDetection: Open MMLab detection toolbox and benchmark;chen,2019

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