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Mask-Guided Feature Extraction and Augmentation for Ultra-Fine-Grained Visual Categorization
The advantage of the proposed method is that the feature detection and extraction model only requires a small amount of target region samples with bounding boxes for training, then it can automatically locate the target area for a large number of images in the dataset at a high detection accuracy.
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