How to understand the difference in dataloader between training detetction stage and training similarity stage

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I found that in training detection stage， the code resize image by limiting the examplar bounding boxes' width and height with 50 , but in training similarity stage , it doesn't used this resize procedure. Could you tell me the benefits of doing this?