Comments (6)
I understand what you mean about the config. But there is a new problem, I set trade-off weight lambda to 0 to remove the cross pseudo supervision loss, and the mean_IU is 70.958% which is higher than when the lambda is 6. This shows that the cross pseudo supervision loss is useless, does it also show that it has nothing to do with the environmental impact? We still can’t reproduce your performance and hope to get your help!
Hi, I got similar problems. Have you figured it out?
from torchsemiseg.
I understand what you mean about the config.
But there is a new problem, I set trade-off weight lambda to 0 to remove the cross pseudo supervision loss, and the mean_IU is 70.958% which is higher than when the lambda is 6. This shows that the cross pseudo supervision loss is useless, does it also show that it has nothing to do with the environmental impact?
We still can’t reproduce your performance and hope to get your help!
from torchsemiseg.
Hi, we recommend using the docker environment we provide to reproduce the results, for that it has exactly the same environment as us.
from torchsemiseg.
Thank you for your reply,but the config 137 epochs is enough for cityscapes? Should I take the paper or the code as the standard?
from torchsemiseg.
The code is exactly the same as that of the paper. If you are confused about why we use 137 epochs, please refer to https://github.com/charlesCXK/TorchSemiSeg/blob/main/docs/getting_started.md for details.
from torchsemiseg.
Excuse me,how long does it take you to train a model?
from torchsemiseg.
Related Issues (20)
- CPS loss
- Pseudo labeling question HOT 2
- training with one GPU HOT 4
- About the explaination of Single-network pseudo supervision
- a question about CPC you mentioned in your paper HOT 2
- File-related questions.
- About the cps_weight with different labeled_ratio HOT 1
- Questions related to Cut-Mix. HOT 1
- Questions about CPS loss. HOT 2
- Image present in both labeled and unlabeled splits HOT 2
- Memory and Inf time (fps) for CPS HOT 2
- Question about the batchnorm while trainning HOT 1
- About pretrained weights HOT 1
- How to resume the trained model
- Download the data (VOC, Cityscapes) and pre-trained models from [OneDrive link] is not found HOT 5
- Question about the optimizer HOT 1
- Run Error HOT 2
- Conflicting Issues Upon Installation (Linux): UnsatisfiableError: The following specifications were found to be incompatible with each other
- About init networks and optimizer
- What are the differences between CPS and Co-training?
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 torchsemiseg.