An Adaptive Attention Fusion Mechanism Convolutional Network for Object Detection in Remote Sensing Images

An Adaptive Attention Fusion Mechanism Convolutional Network for Object Detection in Remote Sensing Images

For remote sensing object detection, fusing the optimal feature information automatically and overcoming the sensitivity to adapt multi-scale objects remains a significant challenge for the existing convolutional neural networks. Given this, we develop a convolutional network model with an adaptive...

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Bibliographic Details
Main Authors: Yuanxin Ye, Xiaoyue Ren, Bai Zhu, Tengfeng Tang, Xin Tan, Yang Gui, Qin Yao
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
image stitching
object detection
feature fusion
loss function
Online Access:https://www.mdpi.com/2072-4292/14/3/516

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https://www.mdpi.com/2072-4292/14/3/516

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