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Conference Aug 2026

MASF-Net: efficient linear attention guided few-shot fine-grained image recognition

Few-shot fine-grained image classification (FS-FGIC) aims to distinguish visually similar subcategories with only a handful of labeled examples, posing significant challenges due to subtle inter-class differences and large intra-class variations. Existing methods often fail to fully leverage complementary information f...

Jinyu Wang, Bing-Xin Xu, Weiguo Pan et al. · 0 citations
Conference Aug 2026

Lightweight infrared and visible image fusion via global selective state-space modeling

Infrared and visible image fusion aims to effectively exploit the strength of the infrared modality in target saliency perception and the complementary capability of the visible modality in representing fine-grained texture details, which is crucial for complex scene understanding and downstream visual tasks. Existing...

Wenkuan Xie, Weiguo Pan, Jiancheng Zhang et al. · 0 citations

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