An algorithm that takes just seconds to scan a paper for duplicated images racks up more suspicious images than a person.

  • AbidanYre@lemmy.world
    link
    fedilink
    English
    arrow-up
    2
    ·
    1 year ago

    Better accuracy than what? What the article describes is fairly basic image processing. The whole thing could be done with like a dozen lines of Python.

    • Zeth0s@lemmy.world
      link
      fedilink
      English
      arrow-up
      1
      ·
      1 year ago

      In Image classification. Neural-network-based ML methods can have greater accuracy than alternative options in image classification

      • AbidanYre@lemmy.world
        link
        fedilink
        English
        arrow-up
        1
        ·
        1 year ago

        For classification, sure. But based on the article that's not what they were doing here. This was just comparing an image to a bunch of other images to see if it was the same.

        • Zeth0s@lemmy.world
          link
          fedilink
          English
          arrow-up
          2
          arrow-down
          1
          ·
          1 year ago

          To see if they are similar. They are not interested to see if the image is the same but to understand if the message is the same, to the level that it is a fraud, not simple citation. They are flagging frauds…

          I have no idea how they do it, and I strongly believe it is an overkill given that the credibility of published research is low due to the mafia-like academic system, not because of few frauds.