Code Monkey home page Code Monkey logo

Comments (6)

yikaiw avatar yikaiw commented on June 16, 2024

Hi, thanks for your interest. Have you applied the sparsity constraints (L1-norm) on the scaling factors? And the sparsity constraints should be applied individually on disjoint parts of channels (as shown in Figure 2).

from cen.

cjs123456 avatar cjs123456 commented on June 16, 2024

Thank you very much for the quick response! I’m sure the sparsity constraints (L1-norm) are applied on the scaling factors(as shown in Figure 2). But the result of the scaling factors visualization is shown in the following figure, two colors represent different modalities, which are very close
image

from cen.

yikaiw avatar yikaiw commented on June 16, 2024

In this figure, it seems the sparsity constraints have little effect on the scaling factors, which is abnormal. Have you tried to increase lambda (in Eq. (4))?

from cen.

cjs123456 avatar cjs123456 commented on June 16, 2024

Thank you very much for your great suggestion, The scaling factors visualization became reasonable after I tried to increase lamda. It seems like the sparsity constraints with higher lamda increases the difference of scaling factors between different modalities and highlights the non-negligible channels, which was discussed in detail in the paper [33](Learning Efficient Convolutional Networks through Network Slimming).
I also want to ask a question, have you tried using the ratio of the scaling factors to decide whether to exchange channels? i.e. use ratio instead of threshold, such as exchange channels if the ratio of the scaling factors is higher than 0.2. I did some experiments like this but it didn't work very well, may I ask what is the problem?
Thank you very much!

from cen.

yikaiw avatar yikaiw commented on June 16, 2024

Hi, during our early exploration, we also tried to exchange channels by using ratios instead of the threshold. Yet we find the current threshold-guided design is much better than ratio-guided one.

from cen.

cjs123456 avatar cjs123456 commented on June 16, 2024

Thank you very much for your reply!

from cen.

Related Issues (17)

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.