GithubHelp home page GithubHelp logo

jianf-wang / np-semiseg Goto Github PK

View Code? Open in Web Editor NEW
44.0 44.0 3.0 739 KB

A Pytorch implementation of ICML 2023 paper "NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation"

Python 99.21% Shell 0.79%

np-semiseg's People

Contributors

jianf-wang avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar

Forkers

cv-seg yimilirui

np-semiseg's Issues

Application of Your Method on Datasets Without Uncertainty Labels

Hello,

I am reaching out to inquire whether this method can be applied to image datasets that do not contain uncertainty labels. I noticed that the two datasets utilized in your paper both contain labels denoting uncertainty. I am interested to know if this approach can still be beneficial in contexts where such labels are not available.

Thank you for your time and consideration.

model replication

Hello, I'm reproducing a model using the VOC2012 dataset in AugSeg, and the test results I obtained have very confusing predicted labels. I can't even discern the rough shape of any object. What could be the reason for this?

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    ๐Ÿ–– 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. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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 โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.