Research on furniture image classification based on MobileNetNAK.

ABSTRACT: With the rapid development of the furniture industry, automatic classification of furniture images has become an important research area. However, this task faces several challenges, including complex image backgrounds, diverse furniture types, and varying forms. To address these issues, we propose a novel furniture image classification method, MobileNetNAK, based on the MobileNetV3 network. First, the method integrates a non-local attention module to capture non-local dependencies within images, significantly enhancing the model's ability to extract key information. Second, the Adamax optimizer is employed to train the model. By adaptively adjusting the learning rate, it accelerates convergence and reduces the risk of overfitting. Third, the Kolmogorov-Arnold networks method is incorporat

SUBMITTER: Zhang D 

PROVIDER: S-EPMC12453834 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature