Symbiotic Evolutionary Learning for Task-Adaptive Infrared and Visible Image Fusion.
This paper proposes a symbiotic evolutionary learning framework for task-adaptive IVIF, termed EvoFuse, which enables a mutual adaptation process where the fusion network and task models are jointly updated under a Pareto-inspired non-degradation criterion.