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Open access Sep 2026

Class Distribution-Aware Adversarial Training for Semantic Segmentation of Imbalanced Remote Sensing Imagery

Class imbalance is a fundamental challenge in semantic segmentation of remote sensing imagery, causing deep convolutional networks to systematically neglect minority categories such as vehicles and small water bodies. To address this, we propose a class distribution-aware adversarial training framework that explicitly...

Ying Yu, Chun-Ping Wang, Ren-Ke Kou et al. · 0 citations
Open access Aug 2026

LAKF-Based 3D Multi-Object Tracking: Hybrid KalmanNet for Nonlinear Motion Estimation

A hybrid KG that fuses the model-based analytical KG with the data-driven learned KG that retains the numerical stability of analytical filtering while incorporating the strong nonlinear fitting capacity from deep learning is proposed.

Yucheng Long, Jian Song, Yun-Feng Xu et al. · 0 citations

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