CBAM module architecture.

<p>The upper part of the CBAM architecture consists of two components: the channel attention module and the spatial attention module. These modules are applied to the input feature map, and the output is obtained by element-wise multiplication with the input feature map. The lower part shows t...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Buyu Wang (17889178) (author)
مؤلفون آخرون:	Weijun Duan (5577551) (author), Jian Zhao (219525) (author), Dongyi Bai (8778413) (author)
منشور في:	2025
الموضوعات:	Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified timely human intervention statistical method combined sliding window mechanism minor feature changes mean average precision improved libra rcnn feature map upsampling artificial intelligence technology model &# 8217 cbam attention module average recall rate scale data distribution study achieved non bfp &# 8217 algorithm &# 8217 mare parturition timing mare parturition data detecting mare parturition mare parturition detection model achieved mare parturition groie module accuracy rate foal parturition scale objectives scale features xlink "> study employed reducing risks paper addresses negative samples manual monitoring live foal immense potential imbalanced positive detection speed change rapidly balanced content automated detection also demonstrating algorithm proposed 17 %.
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الوصف
الملخص:	<p>The upper part of the CBAM architecture consists of two components: the channel attention module and the spatial attention module. These modules are applied to the input feature map, and the output is obtained by element-wise multiplication with the input feature map. The lower part shows the specific placement of the CBAM module in ResNet101, where it is added at the end of each residual unit in the third and fourth stages.</p>

CBAM module architecture.

مواد مشابهة