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....
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 tested on Linux system, PyTorch 2.0.0 and CUDA 11.7, supports Python Python 3.11.8, and is compatible with CUDA11.7+...
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在局部特征提取上的高效性#深度学习#机器学习#注意力机制#...
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