RFA-Net: Reconstructed Feature Alignment Network for Domain Adaptation Object Detection in Remote Sensing Imagery

RFA-Net: Reconstructed Feature Alignment Network for Domain Adaptation Object Detection in Remote Sensing Imagery

With the development of deep learning, great progress has been made in object detection of remote sensing (RS) imagery. However, the object detector is hard to generalize well from one labeled dataset (source domain) to another unlabeled dataset (target domain) due to the discrepancy of data distrib...

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Bibliographic Details
Main Authors: Yangguang Zhu, Xian Sun, Wenhui Diao, Hao Li, Kun Fu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Data augmentation
domain adaptation
feature reconstruction
object detection
pseudo-label filtering
Online Access:https://ieeexplore.ieee.org/document/9829266/

Internet

https://ieeexplore.ieee.org/document/9829266/

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