Code Monkey home page Code Monkey logo

cv_sp's Introduction

PRCV_SP

Implementation

    运用改进的SENet显式地建模特征通道之间的相互依赖关系,通过自学习方式获取到每个特征通道的权重,针对性地提升显著特征并抑制无关特征,以对鞋印图像数据进行挖掘分析,获取足迹对应的样本年龄信息,实现鞋印图像数据挖掘年龄信息的目的。

环境要求:

python=3.6
    pytorch=0.4.1
    numpy
    pandas
    scikit-learn
    matplotlib
    pillow
    opencv-python

Squeeze-and-Excitation Networks

Approach

Figure 1: Diagram of a Squeeze-and-Excitation building block.

 

Figure 2: Schema of SE-Inception and SE-ResNet modules. We set r=16 in all our models.

cv_sp's People

Contributors

vickisy avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.