Target Detection Model Distillation Using Feature Transition and Label Registration for Remote Sensing Imagery-Reference-Cited by-同舟云学术

Target Detection Model Distillation Using Feature Transition and Label Registration for Remote Sensing Imagery

Published:2022 Issue: Volume:15 Page:5416-5426
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:

Zhao Boya¹^ORCID,Wang Qing²,Wu Yuanfeng¹^ORCID,Cao Qingqing¹^ORCID,Ran Qiong²

Affiliation:

1. Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

2. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference58 articles.

1. Yolov3: An incremental improvement;redmon,2018

2. R-FCN: Object detection via region-based fully convolutional networks;dai;Proc Adv Neural Inf Process Syst,2016

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