Few-Shot Object Detection in Remote Sensing Imagery via Fuse Context Dependencies and Global Features

Few-Shot Object Detection in Remote Sensing Imagery via Fuse Context Dependencies and Global Features

The rapid development of Earth observation technology has promoted the continuous accumulation of images in the field of remote sensing. However, a large number of remote sensing images still lack manual annotations of objects, which makes the strongly supervised deep learning object detection metho...

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Bibliographic Details
Main Authors: Bin Wang, Guorui Ma, Haigang Sui, Yongxian Zhang, Haiming Zhang, Yuan Zhou
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Remote Sensing
Subjects:
few-shot object detection (FSOD)
global features
context dependencies
graph convolutional unit (GCU)
feature fusion
Online Access:https://www.mdpi.com/2072-4292/15/14/3462

Internet

https://www.mdpi.com/2072-4292/15/14/3462

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