Fine-grained image recognition based on multi-branch and multi-scale learning

Peng-Song Li; Tong Lin; Bing-Qian Zhou; Zhi-Yi Ji

doi:10.1117/12.2684286

1 August 2023 Fine-grained image recognition based on multi-branch and multi-scale learning

Peng-Song Li, Tong Lin, Bing-Qian Zhou, Zhi-Yi Ji

Proceedings Volume 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023); 127540F (2023) https://doi.org/10.1117/12.2684286
Event: 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 2023, Hangzhou, China

Abstract

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.

Citation Download Citation

Peng-Song Li, Tong Lin, Bing-Qian Zhou, and Zhi-Yi Ji "Fine-grained image recognition based on multi-branch and multi-scale learning", Proc. SPIE 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 127540F (1 August 2023); https://doi.org/10.1117/12.2684286

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