Comments (5)
I think It would great if we can get the implementation for the code using the memory trick to alleviate those who have GPU memory constraints.
from supcontrast.
Hi! Just wanted to second this, it would be great to have the code and a pre-trained model for the SupContrast network on ImageNet.
from supcontrast.
Hi, I agree with the above.
About MoCo trick, I am curious on how it is implemented, in the original paper, the elements of momentum dict are only used as negatives. In this case, are the elements used for both the positives if they have the same label and as negatives? and is there any difference in the usage of the current results (current batch) and the momentum ones.
Thanks.
from supcontrast.
Are there plans to release the code of Supcon with MoCo trick ?
from supcontrast.
@yassouali I have the same problem as you, have you figured out how to achieve it now?
from supcontrast.
Related Issues (20)
- The problem about the number of positives in code
- Why use two anchors? HOT 1
- Loss function is not convergent when batch-sizes smaller? HOT 4
- the mean and std of cifar dataset
- File "main_supcon.py", line 270, in main opt = parse_option() File "main_supcon.py", line 94, in parse_option assert opt.degrees is not None AssertionError
- Question about potentially incomplete usage of 'logits_mask' HOT 1
- Is this using resnet50x4 width? HOT 2
- file “main_linear.py”, line103, set_model(opt) ,if torch.cuda.is_available() is false, why model will not load_state_dict(state_dict) HOT 1
- Execution of code for ImageNet code (Moco trick) HOT 1
- loss computation: mean and not sum HOT 4
- CE vs CE + SupCon HOT 2
- Purpose of logits_mask? HOT 2
- NaN loss for no positive pair from SupCon
- Pre-trained model HOT 1
- What mean, std and other datapreprocessing transforms did you use for ImageNet? HOT 1
- Moco trick?
- Code for using the ImageNet pretrained model
- solved
- How to change backbone HOT 1
- about loss_in and loss_out in paper
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 supcontrast.