Preprint
Aug 2026
HazeSpikeMamba: Coupling Spiking-Inspired and State-Space Features for Self-Supervised Real-World Dehazing
HazeSpikeMamba is proposed, a compact dehazing framework that combines a spiking-inspired local path and an attentive state-space global path in a multi-scale U-Net that consistently improves BRISQUE and NIMA on RTTS, URHI, and HSTS.
Haoran Liu, Huibin Li, Mingzhe Liu et al.
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