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Author

Kang Liu

Xidian University

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Sep 2026

MNet: A Mamba-based teacher-student-decoder framework for multimodal remote sensing segmentation.

Remote sensing image segmentation serves as a fundamental step in connecting raw data with high-level vision understanding. However, single-modality inputs, such as optical or SAR imagery, often provide incomplete semantics, thereby limiting segmentation accuracy. While recent state space models (e.g., Mamba) have show...

Meng-Meng Liu, Rong-Hua Shang, Jing-Yu Zhong et al. · 0 citations
Open access Nov 2024

Patient-specific multimodal learning with multi-view contrastive alignment for chest X-ray report generation

The proposed EVOKE surpasses recent state-of-the-art methods across multiple datasets, and introduces a multi-view contrastive learning method that captures semantic correspondences both among multi-view radiographs within a study and between these radiographs and their associated report, thereby improving visual repre...

Qiguang Miao, Kang Liu, Zhuoqi Ma et al. · 6 citations · ⚡3

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