Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond

Understand

Recently, multi-modality scene perception tasks, e.g., image fusion and scene understanding, have attracted widespread attention for intelligent vision systems.

• However, early efforts always consider boosting a single task unilaterally and neglecting others, seldom investigating their underlying connections for joint promotion.
• To overcome these limitations, we establish the hierarchical dual tasks-driven deep model to bridge these tasks.
• Concretely, we firstly construct an image fusion module to fuse complementary characteristics and cascade dual task-related modules, including a discriminator for visual effects and a semantic network for feature measurement.