Research on Fine-Grained Visual Classification Method Based on Dual-Attention Feature Complementation

Fine-grained image classification is a notable challenge in the field of computer vision. The primary influencing factor is that similar images often have different labels, meaning there is high inter-class similarity and low intra-class similarity. An increasing number of fine-grained classificatio...

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Bibliografische Detailangaben

Hauptverfasser:	Min Huang, Ke Li, Xiaoyan Yu, Chen Yang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2024-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Fine-grained images convolutional neural network dual attention
Online-Zugang:	https://ieeexplore.ieee.org/document/10577094/
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