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PigFRIS:一个三阶段管道,用于围阻塞细分,基于GAN的猪脸涂装和高效的猪脸识别

Ruihan Ma¹, Seyeon Chung², Sangcheol Kim²

¹Department of Electronics and Information Engineering, Jeonbuk National University, Jeonju 54896, Republic of Korea.

Animals : an open access journal from MDPI

|April 12, 2025

概括

本研究介绍了PigFRIS,这是一个用于智能养殖中准确识别猪面部的新系统. 它有效地处理遮并恢复特征,改善牲畜管理.

科学领域:

农业技术农业技术
计算机视觉计算机视觉
动物科学动物科学

背景情况:

精确的动物面部识别对于智能农业应用,如健康监测和生产率管理至关重要.
环境障碍和动物的行为,如围和运动,通常会掩盖猪养殖中的面部特征.
猪品种之间的高度相似性为个人识别带来了重大挑战.

研究的目的:

开发一个综合框架,猪脸识别和涂装系统 (PigFRIS),以提高猪脸识别的准确性.
解决猪识别中隐形和缺失的面部特征所带来的挑战.
通过先进的农业技术改善畜牧管理.

主要方法:

利用YOLOv11细分模型进行最先进的闭塞检测.
采用基于生成对抗网络 (GAN) 的绘制模块 (AOT-GAN) 来重建缺失的面部特征.
集成了一个轻量级的EfficientNet-B2模型用于猪脸分类.

主要成果:

YOLO11l实现了94.92%的回忆和96.28%的AP50检测闭塞.
AOT-GAN表现出强大的图像恢复,FID为51.48%,SSIM为91.50%.
EfficientNet-B2获得了91.62%的准确性和91.44%的F1分数来进行分类,热图分析证实了重点关注相关特征.

结论:

在具有挑战性的智能农业环境中,PigFRIS提供了一种新且实用的解决方案,用于精确的动物面部识别.
该系统有效地克服了现有方法的局限性,通过检测,重建和强调关键的面部特征.
这种进步有助于更有效的畜牧管理,并促进了农业技术的进步.

关键词:

深度学习是一种深度学习.面部在绘画中的面孔围封闭细分隔离的划分猪脸部识别系统猪脸部识别系统智能农场是一个智能农场.聪明的猪场聪明的猪场

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