What is the different between Fine-tuning and Transfer-learning?
Generally, I would refer to this as transfer learning or network adaptation. That is, taking a network that has learned useful features from one domain and adapting that network and its developed features to another domain.

That said, there appear to be many sources that closely conflate fine tuning with transfer learning. Therefore, I would say the difference in terminology is primarily opinion-based and suggest closure of this question on those grounds.