Revisiting-Contrastive-SSL
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021] (by wvangansbeke)
mmselfsup
OpenMMLab Self-Supervised Learning Toolbox and Benchmark (by open-mmlab)
Revisiting-Contrastive-SSL | mmselfsup | |
---|---|---|
1 | 5 | |
86 | 3,104 | |
- | 1.3% | |
0.0 | 5.3 | |
over 2 years ago | 11 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Revisiting-Contrastive-SSL
Posts with mentions or reviews of Revisiting-Contrastive-SSL.
We have used some of these posts to build our list of alternatives
and similar projects.
mmselfsup
Posts with mentions or reviews of mmselfsup.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-21.
-
MMDeploy: Deploy All the Algorithms of OpenMMLab
MMSelfSup: OpenMMLab self-supervised learning toolbox and benchmark.
-
Does anyone know how a loss curve like this can happen? Details in comments
For some reason, the loss goes up shaply right at the start and slowly goes back down. I am self-supervised pretraining an image modeling with DenseCL using mmselfsup (https://github.com/open-mmlab/mmselfsup). This shape happened on the Coco-2017 dataset and my custom dataset. As you can see, it happens consistently for different runs. How could the loss increase so sharply and is it indicative of an issue with the training? The loss peaks before the first epoch is finished. Unfortunately, the library does not support validation.
- Defect Detection using RPI
- [D] State-of-the-Art for Self-Supervised (Pre-)Training of CNN architectures (e.g. ResNet)?
- Rebirth! OpenSelfSup is upgraded to MMSelfSup
What are some alternatives?
When comparing Revisiting-Contrastive-SSL and mmselfsup you can also consider the following projects:
acoustic-keylogger - Pipeline of a keylogging attack using just an audio signal and unsupervised learning.
Unsupervised-Semantic-Segmentation - Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]