Comments (6)
The prototypes are viewed as non-learnable parameters, as they are computed as the mean of a group of feature representations. The parameters of the feature extractors are learnable parameters, which are learned by gradient optimization.
from protoseg.
@wenguanwang Thank you.
from protoseg.
@wenguanwang https://youtu.be/Jm2wKObfES0?t=285. Then, the figure below in your presentation video only considered learnable parameters, right?
from protoseg.
@chwoong Yes, here we mean learnable parameters : -)
from protoseg.
@wenguanwang thank you for quick response. have a good day:)
from protoseg.
@wenguanwang @tfzhou Thank you for your excellent contributions, can you please tell me if the paper code only provides profiles for prototype learning on the Cityscapes dataset?
from protoseg.
Related Issues (20)
- When will the code be released?
- Question about the prototype initialization? HOT 2
- Question about code HOT 5
- parameter numbers of the entire model? HOT 2
- Questions about code HOT 1
- Question about loss HOT 5
- Question about Within-Class Online Clustering HOT 8
- Questions about K prototypes HOT 1
- Question regarding IoUs of pretrained HRNet Proto HOT 3
- Question about seed HOT 3
- Layernorm in Prototype learning HOT 1
- Please how to continue training on the previous model, setting --resume_continue y does not take effect
- How long is the speed of each picture in the model test?
- intra-class prototypes is same. HOT 2
- Can't run the code because of dims
- awesome work!
- Question about the existence of the normalization, and how to run it
- Initial Prototype
- 'ce_weight' parameter in loss
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 protoseg.