Parallel Space and Channel Attention for Stronger Remote Sensing Object Detection

Parallel Space and Channel Attention for Stronger Remote Sensing Object Detection

The object detection of natural images tends to obtain advanced semantic information through multiple convolutions and pooling, ignoring the detailed information in the feature map. Pixel-level images may be the target we are looking for in remote sensing images. This article designs a new attention...

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Bibliographic Details
Main Authors: Yuhui Zhao, Ruifeng Yang, Chenxia Guo, Xiaole Chen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Attention mechanism
convolutional neural networks (CNNs)
object detection
optical remote sensing images
Online Access:https://ieeexplore.ieee.org/document/10374208/

Internet

https://ieeexplore.ieee.org/document/10374208/

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