Fine-grained image recognition based on multi-branch and multi-scale learning
Pengsong Li, Tong Lin, Bingqian Zhou, Zhiyi Ji · 2023
To address the problems of accurate region localization and effective data enhancement, this paper proposes a bilinear convolutional neural network model based on multiple branches and multiple scales. The method uses three branching networks to supervise the image recognition process, which enables the network model to learn fine-grained image features of different scales and different parts. The experimental results show that the bilinear convolutional neural network model based on multi-branch and multi-scale proposed in this paper has practical application value.