To explore more in depth all the domain adaptation issues I suggest to take a look at:

  
      

      arXiv.org
  

  
    

Synthetic Data for Deep Learning 2

  Synthetic data is an increasingly popular tool for training deep learning
models, especially in computer vision but also in other areas. In this work, we
attempt to provide a comprehensive survey of the various directions in the
development and...


  

  
    
    
  

  



  
      

      arXiv.org
  

  
    

Unsupervised Domain Adaptation of Object Detectors: A Survey 1

  Recent advances in deep learning have led to the development of accurate and
efficient models for various computer vision applications such as
classification, segmentation, and detection. However, learning highly accurate
models relies on the...


  

  
    
    
  

  


Also if It Is a little bit old, if you want some reference implementations, check the sim2real challenge leaderboard:

  

      paperswithcode.com
  

  
    

Papers with Code - Syn2Real-C Benchmark (Synthetic-to-Real Translation) 1

  The current state-of-the-art on Syn2Real-C is DADA. See a full comparison of 6 papers with code.