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Found 2 papers, 1 papers with code
Fine-Grained Visual Classification with Efficient End-to-end Localization
The term fine-grained visual classification (FGVC) refers to classification tasks where the classes are very similar and the classification model needs to be able to find subtle differences to make the correct prediction.
Ranked #8 on
Fine-Grained Image Classification
on Stanford Cars
ELoPE: Fine-Grained Visual Classification with Efficient Localization, Pooling and Embedding
The task of fine-grained visual classification (FGVC) deals with classification problems that display a small inter-class variance such as distinguishing between different bird species or car models.
Ranked #17 on
Fine-Grained Image Classification
on FGVC Aircraft
