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question about the data #13

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@Potato-Huang
  1. P3,“……For datasets containing k different annotations for the same image we use a different approach: for each set of 1 + k images (input plus k annotations), we randomly select m elements, where m ≤ n + 1 ≤ 16. These m-tuples are then concatenated to form visual sequences”. What is 'n' here?
  2. The ratio of colorization and mask about ImageNet can be randomly set?

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