Global Perception Attention Network for Fine-Grained Visual Classification

Based on convolutional neural networks (CNNs), recent fine-grained visual classification (FGVC) are solved by locating the most discriminative parts, aggregating the most remarkable feature maps and learning high-order encoding. These works have proposed various interaction methods between global and local information. Compared with extracting global information, however, tracing discriminative lo...