Fine-Grained Classification via Hierarchical Feature Covariance Attention Module
Fine-Grained Visual Classification (FGVC) has consistently been challenging in various domains, such as aviation and animal breeds.It is mainly due to the FGVC’s criteria that Skid Plates differ with a considerably small range or subtle pattern differences.In the deep convolutional neural network, the covariance between feature maps positive