401 citations · 850 across the 15 of their papers we have counts for
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Fast Fine-grained Image Classification via Weakly Supervised Discriminative Localization
Xiangteng He, Yuxin Peng, Junjie Zhao
Fine-grained image classification is to recognize hundreds of subcategories in each basic-level category. Existing methods employ discriminative localization to find the key distin…
Fine-grained Discriminative Localization via Saliency-guided Faster R-CNN
Xiangteng He, Yuxin Peng, Junjie Zhao
Discriminative localization is essential for fine-grained image classification task, which devotes to recognizing hundreds of subcategories in the same basic-level category. Reflec…
Fine-grained Visual-textual Representation Learning
Xiangteng He, Yuxin Peng
Fine-grained visual categorization is to recognize hundreds of subcategories belonging to the same basic-level category, which is a highly challenging task due to the quite subtle…
Fine-graind Image Classification via Combining Vision and Language
Xiangteng He, Yuxin Peng
Fine-grained image classification is a challenging task due to the large intra-class variance and small inter-class variance, aiming at recognizing hundreds of sub-categories belon…
Object-Part Attention Model for Fine-grained Image Classification
Yuxin Peng, Xiangteng He, Junjie Zhao
Fine-grained image classification is to recognize hundreds of subcategories belonging to the same basic-level category, such as 200 subcategories belonging to the bird, which is hi…