How about the transfered performance on object detection by using the learned representation?

Hi, I am interested in the learned representatin's transfered performance on object detection task. I notice that you fine-tuned the learned network on PASCAL VOC 2007 in your past two paper, but you didn't do such adaptation in this paper. I believe the representations learned by cycle-consistency own the potential of detecting objects. Is that true?