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The well-built dataset is a pre-requisite for object categorization. The processes of collecting and labeling the images are laborious and monotonous. In order to label images efficiently, we propose an incremental learning model to label images automatically with a bounding box for each visual object category. Our approach combines image classification and object detection. Given a query image, our...
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