LoHGNet combines Lorentz geometric encoding with high-order hypergraph relation learning to achieve competitive accuracy in infrared small target detection on complex backgrounds.
Dense nested attention network for infrared small target detection
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Na-IRSTD improves infrared small target detection by fusing native-resolution features with a selective token reduction strategy, reaching state-of-the-art results on four public benchmarks.
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LoHGNet: Infrared Small Target Detection through Lorentz Geometric Encoding with High-Order Relation Learning
LoHGNet combines Lorentz geometric encoding with high-order hypergraph relation learning to achieve competitive accuracy in infrared small target detection on complex backgrounds.
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Na-IRSTD: Enhancing Infrared Small Target Detection via Native-Resolution Feature Selection and Fusion
Na-IRSTD improves infrared small target detection by fusing native-resolution features with a selective token reduction strategy, reaching state-of-the-art results on four public benchmarks.