• 0 Posts
  • 5 Comments
Joined 11 months ago
cake
Cake day: August 2nd, 2023

help-circle

  • MrConfusion@lemmy.worldtoGreentext@sh.itjust.worksAnon is a physicist
    link
    fedilink
    arrow-up
    33
    arrow-down
    1
    ·
    edit-2
    3 months ago

    Hi. Physicist here. You are absolutely wrong. The mass of an object does not affect the magnitude of force of air resistance which acts upon a falling object. But the acceleration that object will have is given by Newton’s second law as Force divided by mass. So a heavy and a light ball with the same shape will experience the same air resistance, but the heavy ball will “care less” and thus fall faster.


  • MrConfusion@lemmy.worldtoMicroblog Memes@lemmy.worldOr they go to adtech
    link
    fedilink
    English
    arrow-up
    12
    arrow-down
    1
    ·
    4 months ago

    Well, this is simply incorrect. And confidently incorrect at that.

    Vision transformers (ViT) is an important branch of computer vision models that apply transformers to image analysis and detection tasks. They perform very well. The main idea is the same, by tokenizing the input image into smaller chunks you can apply the same attention mechanism as in NLP transformer models.

    ViT models were introduced in 2020 by Dosovitsky et. al, in the hallmark paper “An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale” (https://arxiv.org/abs/2010.11929). A work that has received almost 30000 academic citations since its publication.

    So claiming transformers only improve natural language and vision output is straight up wrong. It is also widely used in visual analysis including classification and detection.