I understand "domain adaptation" to be a type of "transfer-learning" technique.

Domain Adaptation: By applying knowledge obtained from a domain with sufficient teacher labels (Source Domain) to a target domain without sufficient information (Target Domain), a discriminator, etc. that works with high accuracy in the target domain is learned. (Domain is a term that refers to a collection of data.)

Can I use the "domain adaptation" approach for "fine-tuning" in object detection tasks?