GithubHelp home page GithubHelp logo

Comments (5)

Fly2flies avatar Fly2flies commented on May 18, 2024

I have the same confusion !
Before the Bottleneck, 2 convolution layers with stride 2 make the input down sample 4x. Should I up sample 4x after the final layer to recover the input size or change the stride of the first two convolution layer into 1 ?

from hrnet-semantic-segmentation.

yftzz avatar yftzz commented on May 18, 2024

I guess you might wanna check out other issues, the similar questions have been asked for a few times. But, my question is, put the bilinear upsampling layer before the final layer or after? cuz I believe if the final output comes from a bilinear upsampling layer, the output has to be a bit coarse.

from hrnet-semantic-segmentation.

DragoniteDD avatar DragoniteDD commented on May 18, 2024

Based on the author's reply here, it seems to be bilinear interpolation upsampling after the output
#15 (comment)

from hrnet-semantic-segmentation.

Fly2flies avatar Fly2flies commented on May 18, 2024

Thanks for your reply. I've seen the issue. But it seems to be a little coarse to bilinear 4x to predict directly. I want to know whether you have some solutions to address it?

from hrnet-semantic-segmentation.

sidml avatar sidml commented on May 18, 2024

If anyone else is wondering, how to train the model if the model output size is not equal to label size, check out this

from hrnet-semantic-segmentation.

Related Issues (20)

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.