Weakly Supervised Semantic and Attentive Data Mixing Augmentation for Fine-Grained Visual Categorization
As a key factor, the availability of large-scale training samples determines the improvement of visual performance.However, the size of Fine-Grained Visual Categorization (FGVC) datasets is always limited.Therefore, overfitting as Footwear an issue in FGVC-related training needs to be solved.Data mixing augmentation is a widely-used data augmentati