yulongwang12 / visual-attribution Goto Github PK
View Code? Open in Web Editor NEWPytorch Implementation of recent visual attribution methods for model interpretability
License: BSD 2-Clause "Simplified" License
Pytorch Implementation of recent visual attribution methods for model interpretability
License: BSD 2-Clause "Simplified" License
Hi,
the download URL seems to have gone.
Is there a copy somewhere else?
Thank you!
Best regards
Thomas
Hi, @yulongwang12 ,
Our paper "LayerCAM: Exploring Hierarchical Class Activation Maps for Localization" is accepted by TIP recently, which can visualize the class activation maps from any CNN layer of an off-the-shelf network. Could you add our method to your popular repository for more people to try this method? Our method is a simple modification of Grad-CAM. It should easy to implement. Here is the paper and code. Hope for your reply.
Hi,
thanks for sharing this code!
Could you add some code for computing the patterns for PatternNet etc.? That would be very helpful.
Thanks,
Robin
The link to the weight is out of date
Hi Thank you for this contribution.
I am wondering if you have example code for how to apply this to classifiers that are not resnet-50, inception-v3, or vgg16? I am hoping to get excitation backprop figures for a 3 layer cnn and a 3 layer fully connected network.
Thanks for the great work!
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.