A domain-adaptive detection framework combining gamma alignment, Poisson fusion augmentation, and noise-robust representation learning reports state-of-the-art results on a new infrared UAV benchmark.
Guided attention and joint loss for infrared dim small target detection,
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Rethinking Generalizable Infrared Small Target Detection: A Real-scene Benchmark and Cross-view Representation Learning
A domain-adaptive detection framework combining gamma alignment, Poisson fusion augmentation, and noise-robust representation learning reports state-of-the-art results on a new infrared UAV benchmark.