Comments (3)
mingyuliutw
commented on August 31, 2024
Yes, the entire work/paper is about unaligned data. Alignment is not required.
from unit.
mingyuliutw
commented on August 31, 2024
The shared latent space assumption is an assumption saying that if there exists a pair of corresponding images in the two domains then the two images should have the same latent representation. During training, you don’t have aligned data (paired of corresponding images). The whole point of the paper is to use this constraint to encourage a solution that would be likely desired.
from unit.
hsm207
commented on August 31, 2024
@mingyuliutw Could you please tell me which part of the model is preventing it from giving the same shared latent representation when the pair of input images is not a pair of corresponding image e.g. image 1 is the number 6 from SVHN and image 2 is the number 7 from MNIST?
from unit.
Related Issues (20)
- Unable to reproduce your gta2city results using parallel GPUs HOT 1
- Importance of data augmentation HOT 1
- [paper] extra single bracket HOT 1
- Image links are 404 in TUTORIAL.md HOT 1
- Train with lower precision HOT 1
- Hello, I am trying to train my own dataset, but how are the image naming rules under the trainA and trainB folders named? HOT 1
- Winter<->Summer Pretrained model or dataset. HOT 1
- Problem of train
- Conversion from visual images to infrared images HOT 1
- Testing on a single image HOT 2
- Difference between results with/without shared weights HOT 2
- THEORETICAL QUESTION ABOUT THE MODEL HOT 1
- Pytorch does not support torch.utils.serialization anymore HOT 1
- question about testing。 HOT 1
- Error to import torch.utils.serialization HOT 2
- NotFoundError: NewRandomAccessFile failed to Create/Open: images/labelmap.pbtxt : The system cannot find the file specified; No such file or directory HOT 1
- I can not find day2night weights.
- question about training HOT 1
- Weight sharing part
- vgg16.t7 pretrained model？
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 unit.