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Yendo Hu

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Open access Sep 2026

A Lightweight Deep Learning Framework for Parallax-Tolerant Image Stitching

A transformer-based channel attention block improves the discriminative capability of fused features in low-texture regions and enhances global consistency in a lightweight deep stitching framework that integrates multi-scale feature fusion with attention-enhanced matching.

Yi-Liang Wu, Hua-Wang Huang, Zong-Kai Huang et al. · 0 citations

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