The Imbalanced Target Classification Method Based on Mixed Learning of Virtual and Real Data

The Imbalanced Target Classification Method Based on Mixed Learning of Virtual and Real Data

We proposes a category imbalance classification model based on mixed feature enhancement between virtual and real domains to address the class imbalance problem in maritime target classification applications. In practical maritime target classification tasks, the imbalanced class distribution in rea...

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Bibliographic Details
Main Authors: Fengyu Yang, Peng Wang, Wutao Qin, Zhangze Liao
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Maritime target classification
class imbalance
domain adaptation
feature augmentation
mixed learning
Online Access:https://ieeexplore.ieee.org/document/11015448/
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