当前位置: 移动技术网 > IT编程>操作系统>Mac > AI实战:一种新的深度目标检测架构 Matrix Nets

AI实战:一种新的深度目标检测架构 Matrix Nets

2020年07月26日  | 移动技术网IT编程  | 我要评论
Matrix Nets: A New Deep Architecture for Object DetectionAP在MS COCO上实现了47.8的mAPAP比较Matrix Networks(a) Shows the original FPN architecture(b) Shows the MatrixNet architecture, where the 5 FPN layers are viewed as the diagonal layers in the mat

Matrix Nets: A New Deep Architecture for Object Detection

  • AP
    在MS COCO上实现了47.8的mAP

  • AP比较
    在这里插入图片描述

  • Matrix Networks

    在这里插入图片描述

    (a) Shows the original FPN architecture
    (b) Shows the MatrixNet architecture, where the 5 FPN layers are viewed as the diagonal layers in the matrix. We fill in the rest of the matrix by downsampling these layers.

  • KP-xNet architecture

    在这里插入图片描述

  • 实验结果
    Empirical results on MSCOCO for our method as compared to best results reported in other works.

    在这里插入图片描述

  • 其他详细细节可以参考原论文

  • 论文链接:Matrix Nets: A New Deep Architecture for Object Detection

  • 开源代码

    pytorch版 MatrixNets 实现: https://github.com/arashwan/matrixnet (包含了 train、 test 代码)

本文地址:https://blog.csdn.net/zengNLP/article/details/107573363

如您对本文有疑问或者有任何想说的,请点击进行留言回复,万千网友为您解惑!

相关文章:

验证码:
移动技术网