Giter VIP home page Giter VIP logo

featuredecoupling's People

Contributors

philiptheother 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  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  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar

featuredecoupling's Issues

Any results on smaller datasets

Hi,
Thanks for your work and for sharing the code, the results are very good on ImageNet and other big image datasets.
I was wondering if you ran experiments on smaller images such as the ones in the CIFARs. I tried runing them myself but I am not so sure about how to configure the NCE layer and the results I get are really poor.

Do you have any observations to share over this ?

Thanks

When to use random_sized_crop

Hi there,

Looking through the code it seems like transforms.RandomResizedCrop is used when training with self-supervision but then it is disabled when training the linear classifier. I was just wondering if there was a reason for the change, and if it makes a big difference in the final performance?

Thanks!

How to generate the prob.dat file?

Thanks for the code implementation, but I don't know how to implement the code of "generate the prob.dat file", could you share it? thanks.

Python version

Hi, what version of python is used for this project. I am having some issues loading modules like imp. Thanks

Losses behaviour

Hi,

Many thanks for sharing your work! I am playing with your method in CIFAR-10 and I was wondering if you could help me a bit on the behaviour that I should expect from the losses. Did you observe worse rotation accuracy/loss than when training the rotation method alone? Could this be normal considering that rotation accuracy is not necessarily a good measure and learning together with NPID is just helping on forming more discriminative features that don't help rotation accuracy?

Many thanks in advance!

Best,
Diego.

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.