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Author

Xin He

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2026

AMS-SemiCD: A Synergistic Framework for Semisupervised Change Detection via an Adaptive Pseudolabeling Strategy and a Multibranch Network

Semisupervised change detection (SSCD) aims to reduce the dependence on extensive labeled data. However, existing methods face three critical challenges. First, class imbalance and boundary ambiguity induce class-dependent confidence distributions, hindering reliable pseudolabel selection. Second, uncertain pixels may...

Di Zhang, Pei-Cheng Yue, Hui-Fang Ma et al. · 0 citations
Preprint Aug 2026

LAD-COD: Language-Aligned Dense Perception for Camouflaged Object Detection

This work proposes Language-Aligned Dense perception for COD (LAD-COD), a framework that aligns top-down semantic target guidance with bottom-up hierarchical visual features and allows semantic information to guide localization while preserving the fine structural details needed for camouflage segmentation.

Shangye Song, Tianzhi Zhu, Syed Ariff Syed Hesham et al. · 0 citations

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