Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation

Neural Information Processing Systems 

Fine-grained visual classification (FGVC) involves classifying closely related sub-classes. This task is difficult due to the subtle differences between classes and the high intra-class variance.

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