anujinho/trident
Official repository for the paper TRIDENT: Transductive Decoupled Variational Inference for Few Shot Classification
This tool helps machine learning researchers and practitioners tackle few-shot image classification problems where only a small number of example images are available for each category. It takes image datasets and configuration settings as input and produces improved classification models. The primary users are those working on advanced image recognition tasks with limited data.
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Use this if you need to classify images into many categories, but you only have a handful of labeled examples for each new category.
Not ideal if you have large datasets with abundant labeled images for all categories, or if your task is not image classification.
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40
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Language
Python
License
MIT
Category
Last pushed
Mar 25, 2023
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