1. Computational cost: The attention mechanism requires significant computational resources, particularly when dealing with large images and long captions. 2. Overfitting: The attention mechanism can lead to overfitting, particularly when the model is trained on small datasets. 3. Interpretability: The attention mechanism can be difficult to interpret, making it challenging to understand why the system is generating certain captions.