🌈 FER-YOLO-Mamba是一种创新的面部表情识别模型,它将YOLO技术和Mamba状态空间模型(SSM)相结合,从而提升了面部表情图像的识别和定位效率。该模型的特点在于其双分支结构的FER-YOLO-VSS模块,其中一个分支通过卷积层进行局部特征提取,而另一个分支则利用状态空间模型捕捉长距离依赖关系。这种设计使得模型能够同时处理局部...
终于等到Mamba对YOLO出手了! FER-YOLO-Mamba直接干翻 YOLOv8mp.weixin.qq.com/s/hPFVvdrIS4X8Db61I0xfGw 面部表情识别(FER)在理解人类情绪线索方面起着关键作用。然而,基于视觉信息的传统FER方法存在一些局限性,如预处理、特征提取和多阶段分类过程。这些不仅增加了计算复杂性,还需要大量的计算资源。考虑到基于...
Breadcrumbs FER-YOLO-Mamba / requirements.txt Latest commit SwjtuMa First commit aabce9a· May 6, 2024 HistoryHistory File metadata and controls Code Blame 12 lines (12 loc) · 187 Bytes Raw torch torchvision tensorboard scipy==1.2.1 numpy==1.17.0 matplotlib==3.1.2 opencv_python==4.1.2....
FER-YOLO-Mamba: Facial Expression Detection and Classification Based on Selective State Space arXiv 📝Introduction📝 This repository is the code implementation of the paper FER-YOLO-Mamba: Facial Expression Detection and Classification Based on Selective State Space. The current branch has been teste...
泼天的高分思路Mamba+YOLO Mamba终于也对YOLO出手了!最近有关Mamba+YOLO的新研究真是不少,比如Nature子刊上的YOLOv5_mamba、精度大幅领先YOLOv8的FER-YOLO等等,都是效果非凡,值得一品的好成果。准备了10篇相关论文以及代码,感兴趣的评论区留言哦。这种结合不仅融合了Mamba在全局信息捕捉上的优势,还保留了YOLO在局部特...
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