Lightweight infrared and visible image fusion via global selective state-space modeling
A knowledge distillation-based training strategy, together with a structural consistency constraint, is introduced to enhance the fusion quality of the lightweight model by guiding the student network to inherit discriminative representations from the teacher model while preserving a compact architecture.