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Author

Tianzhi Zhu

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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
Sep 2026

Understanding Multimodal Learning From Modality Fusion and Alignment Perspectives.

This paper develops a dynamic strategy that jointly optimizes modality fusion and alignment, and develops a learning-based strategy using a bi-level optimization framework and theoretically proves the convergence of the learning algorithm to ensure its reliability.

Yang Yang, Feng-Qiang Wan, Qing-Jun Jiang et al. · 0 citations

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