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DGNet: Dual-knowledge Guided Network for Infrared Small Target Detection

arXiv · AI, language, vision and robotics · article · Sep 1, 2026 · UTC

InfRared Small Target Detection (IRSTD) is a prominent and challenging task in computer vision. In recent years, text-guided methods have significantly improved detection performance. However, they still suffer from two key limitations. First, a single text description simultaneously modeling both background and target leads to semantic entanglement, which contradicts the objective of background suppression and target enhancement. Second, reliance on image-specific textual prompts (requiring additional external models such as CLIP during inference) results in deployment constraints. To address

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Evidence & attribution

arXiv · AI, language, vision and robotics · 2026-09-01T03:44:47.000Z

First collected: 2026-09-21T06:21:59.299Z. This is not the publication date.