zijian-hu/SimPLE
Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"
This project helps machine learning practitioners improve the accuracy of their image classification models when they have a large collection of images but only a small portion are labeled. It takes your partially labeled image dataset and produces a more accurate classification model. This is for machine learning engineers and researchers working on image recognition tasks with limited labeled data.
No commits in the last 6 months.
Use this if you need to train a robust image classifier but are bottlenecked by the cost or time required to label a massive dataset.
Not ideal if you have a fully labeled dataset or are working on non-image data types.
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62
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4
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 12, 2024
Commits (30d)
0
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