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Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics
Fine-grained image classification, which aims to distinguish images with subtle distinctions, is a challenging task due to two main issues: lack of sufficient training data for... -
Caltech-UCSD Birds 200
The Caltech-256 object category dataset is used for the feature extraction step, and the Omniglot dataset is used for the evaluation. -
CUB200-2011
The dataset used in the paper is CUB200-2011, a fine-grained image classification dataset.
