Comments (7)
Hi, thanks for the questions.
- Yes, that's correct. During the training the border artifacts will gradually decrease.
- Sorry I may not fully understand your question. Is the image collage output (output nonshift) you mean here the output that does not use the feature collage mechanism?
from patch-dm.
Thanks for your reply XD
So return contains two outputs, pred1 is the output with feature collage, and pred2 is the direct output without feature collage (from my understand) so ideally shoud the pred2 stitch in imagespace (and take the center 64 * 64) be similar to the pred 1 output ideally?
from patch-dm.
Thanks for the clarification. Yes we don't have specific constraints on these two but as they're both used to calculate the loss with the groundtruth so there are indirect constraints applied on them. The main point here is to let the decoder fuse the collaged features from the encoder to alleviate the border artifacts.
from patch-dm.
Related Issues (7)
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 patch-dm.