Update README.md

README.md

@@ -9,6 +9,8 @@ This is the offical implementation for the paper titled "FusionBooster: A Unifie
 - In a new divide-and-conquer image fusion paradigm, the results of the analysis performed by the Information Probe guide the refinement of the fused image.
 - The proposed FusionBooster significantly enhances the performance of the SOTA fusion methods and downstream detection tasks, with only a slight increase in the computational overhead.
 
+The code is coming soon.
+
 ## Announcement
 - 2024-9-30 This work has been accepted by IJCV.
 - 2024-10-1 Because some of the fusion methods are realised using the tensorflow framework. Our FusionBooster demo will be implemented based on the [MUFusion](https://github.com/AWCXV/MUFusion). You can always use our "detached booster" to enhance your own fusion results.