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PICANet: Physics-Informed Cascaded Asymmetric Network for Infrared Small Target Detection

arXiv · AI, language, vision and robotics · article · Sep 7, 2026 · UTC

Infrared small target detection (ISTD) is an important research direction in image processing. However, existing methods are limited by severe background noise propagation and target degradation in high-level semantic features. To address these limitations, this paper proposes a plug-and-play physics-informed cascaded asymmetric network, named PICANet. Specifically, we construct a hierarchical prior decoupling module to explicitly extract low-level and high-level physical information, thereby characterizing target features at different levels rather than relying solely on convolutional extract

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