Nov 26, 2021 · This method compresses global pixels through convolution, weights the original feature map pixels, reduces noise interference, and improves the ...
A residual attention function fusion method is proposed, which improves the representation ability of feature maps by fusing contextual feature map ...
Jan 1, 2021 · This method compresses global pixels through convolution, weights the original feature map pixels, reduces noise interference, and improves the ...
Nov 26, 2021 · Here, we introduce a parameter-free attention mechanism called PfAAM, that is a simple yet effective module. It can be plugged into various ...
Oct 25, 2023 · A lightweight remote sensing object detection model is proposed in this article, which called attention and multiscale feature fusion ...
For remote sensing change detection tasks, this paper introduces a multi-scale feature fusion Siamese network (ABMFNet) based on an attention mechanism. The ...
Jan 24, 2024 · Secondly, we propose an adaptive channel spatial attention mechanism SCBAM, which introduces a self-attention mechanism into CBAM module to add ...
Dec 4, 2023 · Anomaly-based intrusion detection in industrial data ... multi-scale feature fusion in remote sensing for automatic oceanic eddy detection.
This module not only effectively detects multi-scale objects but also improves the precision detection of smaller objects. To alleviate the problem of ...
May 24, 2023 · Regarding the problems above, this paper proposes a remote sensing small-object network detection based on the attention mechanism and multi- ...
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