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    Cross-Category Cross-Semantic Regularization for Fine-Grained Image Recognition

    Fine-grained image recognition (FGIR) is challenging due to the local and subtle differences between subordinate categories. Existing methods adopt a two-step strategy by first detecting local parts from image...

    Yelin Chen, **anjie Mo, Zijun Liang… in Pattern Recognition and Computer Vision (2019)