dahyun-kang/renet
[ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification
This project helps developers working on computer vision tasks classify images when they have very little labeled data available. You provide a small number of example images for each category, and the system learns to classify new images into those categories. This is useful for researchers and machine learning engineers developing new image recognition systems.
122 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher or engineer needing to train an image classification model with extremely limited labeled examples per category.
Not ideal if you have ample labeled data for your image classification task or are not comfortable working with PyTorch and Python development environments.
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122
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Language
Python
License
MIT
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Last pushed
Dec 26, 2021
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