Author

Chia-Wen Lin

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Open access Nov 2025

Transformer-Progressive Mamba Network for Lightweight Image Super-Resolution

Recently, Mamba-based super-resolution (SR) methods have demonstrated the ability to capture global receptive fields with linear complexity, addressing the quadratic computational cost of Transformer-based SR approaches. However, existing Mamba-based methods lack fine-grained transitions across different modeling scale...

Sichen Guo, Wen-Jie Li, Yuanyang Liu et al. · IEEE Transactions on Image P... · 2 citations

Preprint Aug 2026

SA-GEM: Scale-Adaptive and Geospatial Evidence-Modulated Token Pruning for Efficient Remote Sensing Large Vision-Language Models

It is shown that higher resolution is not universally beneficial and, once sufficient granularity is reached, token quality matters more than token quantity, and a plug-and-play framework that unifies task-adaptive token granularity allocation with holistic geospatial token importance modulation is presented.

Kexin Ma, Jing Xiao, Bowen Xing et al. · 0 citations

Aug 2026

CSW-AL: A category-scaling weight schema for imbalanced multi-domain active learning.

This work introduces a comprehensive framework featuring a dynamic category-scaling weight mechanism that hierarchically addresses imbalance at the sample and domain levels, and builds a progressively refined "Ideal Domain" through the adaptive integration of well-performing domains.

Yanchao Li, Guanxiao Li, Xiao-Li Wang et al. · Neural Networks · 0 citations