UMBCvision/MSF
Official code for "Mean Shift for Self-Supervised Learning"
This project offers a method for improving the accuracy of computer vision models without needing extensive labeled datasets. It takes a collection of unlabeled images and processes them to generate learned representations, which can then be used to train image classification or object recognition systems more effectively. This is for machine learning researchers and practitioners who develop computer vision applications.
No commits in the last 6 months.
Use this if you need to train robust image recognition models but have limited access to labeled image data.
Not ideal if you are looking for a pre-trained model for immediate use without further training or development work.
Stars
56
Forks
11
Language
Python
License
MIT
Category
Last pushed
Oct 12, 2021
Commits (30d)
0
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