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fewshot_random_subspace
darklord25/fewshot_random_subspace
fewshot_random_subspace is a image classification model from darklord25. Use it when you need a label for an image. The card lists the license as mit.
This repository contains the code for our work on few-shot learning for chest X-ray images. Our approach is detailed in our paper, which can be accessed here.
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Public
Updated Jan 18, 2024
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.py205 KB · 59%
At a glance
- Task
- Image Classification
- License
- mit
- Access
- Public
- Created
- Jan 18, 2024
- Updated
- Jan 18, 2024
- SHA
- b137cb39
Datasets
Model card
From the Hugging Face model README
Few-shot Learning Using Random Subspace
Overview
This repository contains the code for our work on few-shot learning for chest X-ray images. Our approach is detailed in our paper, which can be accessed here.
For a quick overview of our project, visit our website.
Project Summary
Our project presents a novel method for few-shot learning, specifically tailored for the analysis of chest X-ray (CXR) images. The key features of our method include:
- Efficiency: Our approach is nearly 1.8 times faster than the traditional t-SVD method for subspace decomposition.
- Effective Clustering: The method ensures the creation of well-separated clusters of training data in discriminative subspaces.
- Promising Results: We have tested our method on large-scale CXR datasets, yielding encouraging outcomes.
Contact
Reach out to the authors [details provided in the project page]
- Task
- Image Classification
- License
- mit
- Languages
- en
- Created
- Jan 18, 2024
- Updated
- Jan 18, 2024