Study on Image Classification Algorithm Based on Multi-Scale Feature Fusion and Domain Adaptation

Study on Image Classification Algorithm Based on Multi-Scale Feature Fusion and Domain Adaptation

This paper introduces the MMTADAN, an innovative algorithm designed to enhance cross-domain image classification. By integrating multi-scale feature extraction with Taylor series-based detail enhancement and adversarial domain adaptation, the MMTADAN effectively aligns features between the source an...

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Bibliographic Details
Main Authors: Yu Guo, Ziyi Cheng, Yuanlong Zhang, Gaoxuan Wang, Jundong Zhang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
statistical learning
deep learning
domain adaptation
generative adversarial network
Online Access:https://www.mdpi.com/2076-3417/14/22/10531

Internet

https://www.mdpi.com/2076-3417/14/22/10531

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