PistonNet: Object Separating From Background by Attention for Weakly Supervised Ship Detection-Reference-Cited by-同舟云学术

PistonNet: Object Separating From Background by Attention for Weakly Supervised Ship Detection

Published:2022 Issue: Volume:15 Page:5190-5202
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:

Yang Yi¹^ORCID,Pan Zongxu¹^ORCID,Hu Yuxin¹,Ding Chibiao¹

Affiliation:

1. Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Aerospace Information Research Institute, School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9656571/09802644.pdf?arnumber=9802644

Reference33 articles.

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5. R3det: Refined single-stage detector with feature refinement for rotating object;yang;Proc AAAI Conf Artif Intell,0

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