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.
Infrared target detection in cluttered environments by maximization of a target to clutter ratio (tcr) metric using a convolutional neural network,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.