NJUyued/SoC4SS-FGVC
"Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning" by Yue Duan (AAAI 2024)
This project helps researchers and machine learning practitioners build more accurate image classification models when dealing with detailed, fine-grained categories like specific bird species or fungi types. It takes a mix of labeled and unlabeled images and outputs a trained model capable of classifying these subtle visual differences. This is ideal for those working in fields requiring precise visual identification, such as biologists, ecologists, or quality control specialists.
Use this if you need to classify images into very specific categories but have a limited number of expertly labeled examples and a large collection of unlabeled images.
Not ideal if your image classification task involves broad categories or if you primarily work with fully labeled datasets.
Stars
13
Forks
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Language
Python
License
MIT
Category
Last pushed
Nov 20, 2025
Commits (30d)
0
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