Comments (4)
The segmentation results you reported are correct, but the classification results are slightly lower. I don't know what happened. I cloned the program and rerun it just now. The result is exactly the same as in the README.
from musc.
sorry, I changed [1, 2, 3] of multi-window setting in RsCIN to [2 ,3]. Now my results are similar to your reported results. However, theoretically the results should be the same as yours? Maybe you know how to explain this subtle difference?
from musc.
The difference is only 0.0X%, which I suspect may have something to do with your hardware. I just tried the experiment on three servers, but all with the same results.
from musc.
thanks a lot!
from musc.
Related Issues (11)
- Congrats! Great Work!
- feature extractors HOT 9
- about figure 2 visualization HOT 2
- Will the relevant training code be made public in the future? HOT 3
- btad和mvtec_anomaly_detection无法可视化 HOT 1
- A little question HOT 1
- how to use dino or dinov2? HOT 1
- Hello. How can I run a program using multiple GPUs? Or is it only possible to utilize a single GPU? HOT 1
- 作者大大,请问你可以帮忙我们做gui界面吗? HOT 1
- musc模型进一步细节 HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
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.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from musc.