CARAFE-BFP Module.

<p>The input feature maps come from the outputs of the FPN, namely P2’, P3’, P4’, and P5’. These feature maps are processed through the Integrate and Refine operations to generate new feature maps P2, P3, P4, and P5, which are used for subsequent object detection tasks.</p>

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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CARAFE-BFP Module.

مواد مشابهة