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结合指导学习和特征擦除的东北虎重识别研究
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Journal Article
结合指导学习和特征擦除的东北虎重识别研究
2023
Overview
TP391%Q958.1; 东北虎(Panthera tigris altaica)重识别对于东北虎的行为研究以及保护具有重要意义,针对在自然环境中东北虎难以被重新识别的问题,提出了一种结合指导学习和特征擦除的东北虎重识别方法.设计了一个包括全局流和局部流的双流网络,局部流以分割后的前景图作为输入,使网络更关注前景部分,全局流以原图作为输入,通过局部流指导全局流学习细粒度特征,同时将模型最后全连接层(FC)的各类别权重参数之间的差异作为指导进行特征擦除,以擦除后的特征向量训练网络,从而增强特征向量中更多元素的辨别能力,最后在测试阶段只使用全局流.在野外东北虎重识别(ATRW)数据集上对该方法进行评估,在单摄像机条件下,mAP达到92.1%;在交叉摄像机条件下,mAP达到72.9%,试验结果表明方法有效.
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