David Nordström
@davnords.bsky.social
54 followers 87 following 92 posts
Phd Student @ Chalmers Deep Learning for Computer Vision. Strengthen your ViTs: https://github.com/davnords/octic-vits
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Reposted by David Nordström
Pro tip: For good Halloween vibes, use non-normalized RoPE on images larger than your training resolution and larger than the composite period of some of the RoPE-rotations. You might get scary ghost structures in your features.
Maybe not directly comparable, but in some sense the academic vision community has not scaled up so tremendously
Certainly a big leap. Another perspective I sometimes entertain is that AlexNet used around 60 million trainable parameters and when reading conference papers nowadays, many of the main experiments are on models of around ViT-B size which has around 85 million parameters.
Never told us if accuracy or loss: Sudden drop = Nuke the Berzelius cluster
Saw a post on "The bitter lesson's bitter lesson"
A. Andersson sounds like the most Swedish generic name I could imagine 😆
Fun fact: this is not artificial lighting. The literal grace of god shone upon you
14 opponents? 'Kids these days have it too easy', doctorate inflation
Reposted by David Nordström
RoMa now on PyPI under name of `romatch`
Reposted by David Nordström
Towards the Next Generation of 3D Reconstruction

@parskatt.bsky.social PhD Thesis.

tl;dr: would be useful in teaching image matching - nice explanations. (too) Fancy and stylish notation. Cool Ack section and cover image.

liu.diva-portal.org/smash/record...
Reposted by David Nordström
How to name your method: a comprehensive flow chart
Live esport events are legendary!
A wild Horace He appears :)
Interesting. Do you know if this is unique to DINO-style pre-training or is it present in all early ViT layers?
Next we need a dataset of octic-symmetric octupi, or seals :)
Thanks for the vote of confidence. Then you two are lazily-efficient!
Rotate conference venues between the likes of Hawaii and Japan and we will have infinite travel glitch