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I was reading DT-LET: Deep transfer learning by exploring where to transfer, and it contains the following: It should be noted direct use of labelled source domain data on a new scene of target domain would result in poor performance due to the semantic gap between the two domains, even if they are representing the same objects. Can you please explain what the semantic gap is?