Mounds No. 4 is the latest variation of my Mounds series. This is 100% code, using #p5js and fx(lens). I have fun doing projects like this, coming up with different fills.

18/100 minted, 2.5 tez per ticket.

https://www.fxhash.xyz/generative/27292
#fxhash #params #patterns #mounds

Landmark detection is a critical component of the image processing pipeline for automated aortic size measurements. Given that the thoracic aorta has a relatively conserved topology across the population and that a human annotator with minimal training can estimate the location of unseen landmarks from limited examples, we proposed an auxiliary learning task to learn the implicit topology of aortic landmarks through a CNN-based network. Specifically, we created a network to predict the location of missing landmarks from the visible ones by minimizing the Implicit Topology loss in an end-to-end manner. The proposed learning task can be easily adapted and combined with Unet-style backbones. To validate our method, we utilized a dataset consisting of 207 CTAs, labeling four landmarks on each aorta. Our method outperforms the state-of-the-art Unet-style architectures (ResUnet, UnetR) in terms of localization accuracy, with only a light (#params=0.4M) overhead. We also demonstrate our approach in two clinically meaningful applications: aortic sub-region division and automatic centerline generation.
[https://arxiv.org/abs/2304.07607v1]

I'm also curious how people are using dry-validation/dry-schema/dry-struct to handle sinatra params from forms or sidekiq job arguments. Do people use the dry-* libraries directly, or do they use one of the other plugin libraries such as sinatra-validation, sinatra-dry_params, or sidekiq-dry?
https://github.com/IzumiSy/sinatra-validation
https://github.com/tiev/sinatra-dry_param
https://github.com/zorbash/sidekiq-dry
#dryrb #sinatra #sidekiq #params

📝 ZiCo: Zero-Shot NAS via Inverse Coefficient of Variation on Gradients 🧠

"ZiCo is the first training-free proxy that works consistently better than the number of network parameters (#Params), the previous SOTA training-free proxy." [gal30b+] 🤖 #LG

🔗 https://arxiv.org/abs/2301.11300v1 #arxiv

@tom_dalling the form object itself only stores the form values, not the model values. (e.g. DateField stores the string "2018-11-03"). you can think about Form#data more like a filtered #params.

you can attach schemas (see https://www.rubydoc.info/github/judofyr/ippon/master/Ippon/Validate) to fields to convert them to an internal representation (and this can create an error), but this is a separate concern and could technically be done on the outside.