AI RESEARCH
LoHGNet: Infrared Small Target Detection through Lorentz Geometric Encoding with High-Order Relation Learning
arXiv CS.CV
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ArXi:2605.07213v1 Announce Type: new Infrared small target detection (IRSTD) remains challenging due to the scarcity of useful target cues and the presence of severe background clutter. Most current methods rely on conventional feature learning and local interaction modeling, where features are represented in Euclidean space. However, such designs may still be limited in describing the subtle differences of weak targets and the contextual relations between targets and backgrounds.