Adopting Attention and Cross-Layer Features for Fine-Grained Representation
Fine-grained visual classification (FGVC) is challenging task due to discriminative feature representations.The attention-based methods show great potential for FGVC, which neglect that the deeply digging inter-layer feature relations have an impact on refining feature learning.Similarly, the associating cross-layer features methods achieve signifi