"An efficient deep neural network to find small objects in large 3D images. (arXiv:2210.08645v2 [cs.CV] UPDATED)" — What it says in the title 🙂

Paper: http://arxiv.org/abs/2210.08645
Code: https://github.com/nyukat/3d_gmic

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"Leveraging Large Language Model and Story-Based Gamification in Intelligent Tutoring System to Scaffold Introductory Programming Courses: A Design-Based Research Study" — Using Large Language Models (LLM) and gamification to teach programming in a more digestible format (especially) in introductory programming courses.

Paper: https://arxiv.org/abs/2302.12834

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"Diffusion Posterior Sampling for General Noisy Inverse Problems. (arXiv:2209.14687v3 [stat.ML] UPDATED)" — Extending diffusion solvers to efficiently handle general noisy (non)linear inverse problems via approximation of the posterior sampling.

Paper: http://arxiv.org/abs/2209.14687
Code: https://github.com/dps2022/diffusion-posterior-sampling

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Solving noisy linear, and nonli…

@BobWilliams Sure 🙂 Will put up the JavaScript code on GitHub at some point today and let you know … It’s very basic at the moment but it will at least let you connect to an instance and see your home timeline. From there to filtering should be fairly straightforward since all you need to do is go through the fetched posts and figure out what you want to filter out … (hopefully) 😛

@BobWilliams If you are on macOS, I’d be happy to post binaries in one of my GitHub repos so that you can try out the functionality now …

Otherwise, you’d have to wait till I get around to doing the JavaScript client 🙂 I don’t think I posted the source for it online since it’s way too early in development but if you’d like to play around with that, I can post the source for that on GitHub too …

"Subspace Diffusion Generative Models. (arXiv:2205.01490v2 [cs.LG] UPDATED)" — Restricting diffusion via projections onto subspaces to reduce computational time and cost without affecting the overall quality of the generated image.

Paper: http://arxiv.org/abs/2205.01490
Code: https://github.com/bjing2016/subspace-diffusion

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Random high resolution samples …

"Large Scale Visual Food Recognition. (arXiv:2103.16107v3 [cs.CV] UPDATED)" — A food dataset with 2,000 categories and over 1 million images that can be used for food recognition.

Paper: http://arxiv.org/abs/2103.16107
Code: https://github.com/Liuyuxinict/prenet/

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The distributions over each cat…

@BobWilliams I guess it might be possible to do something from the browser end but for that I’ve only explored things like writing a browser-based client in JavaScript 🙂

That’s probably the solution which would cater to most people since it should run on most (any?) platforms but it turned out that there wasn’t an existing pure JavaScript solution that I could leverage. I’d have to write all of it on my own. I got started but didn’t go beyond displaying a timeline since all the work that remained seemed too daunting and it was too long to wait for the payoff.

So I just found the best native (macOS) client that was open source, and modified it to add the features I wanted. But I’ll probably go back to the JavaScript client at some point since it should help a lot more people (possibly) …

@BobWilliams Making changes at the instance end would be one way to set things up for a larger group of people I guess 🙂

For me, personally, there aren’t a lot of Fediverse implementations which have the features I want and the ones that do are implemented in programming languages that I’d have to learn, or the implementation itself is rather cumbersome, as is the case with Mastodon.

So I opted to do the changes at the client-end with specific client apps since that’s a little bit more manageable. That presents certain problems but less so than managing the server-side stuff to do things in an efficient way … at least for me.

Plus, if you get the client working right, you can use it to connect to any instance and so be able to move to a new server if you wanted, etc. 🙂

"Directed Diffusion: Direct Control of Object Placement through Attention Guidance. (arXiv:2302.13153v1 [cs.CV])" — Controlling object placement in diffusion models by way of attention guidance.

Paper: http://arxiv.org/abs/2302.13153

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Directed Diffusion (DD) key res…

@BobWilliams Happy to help in any way I can 🙂 I’ve been running some experiments myself in reducing my home timeline by filtering but only by way of customising my client app since the generally available apps don’t seem to have that feature.

I find lists much more useful now that I can filter out list members from my home timeline but somebody else said something which leads me to believe that other people might be disregarding the home timeline altogether (since they can’t filter by lists membership) and simply putting all of the people they are following into lists so that they only deal with lists.

Not sure if that’ll help you but just mentioning in case it does …

A total of 98 papers in the cs.CV category on arXiv.org today — 35 new, 63 updated.

Gentlepeople, start your engines 🙂

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@davemark @RachYall Thank you. Now I’m even less inclined to play it because I get to emotionally invested in stuff…. I just spent days thinking about the end of “Uncharted 4” and that was a happy ending 🙂

@davemark Please lemme know what you think when you do 🙂 I probably won’t get to it this year. I’m slowing down on the gaming and we just got back to playing “Rise of the Tomb Raider” after like 4 or 5 years?

And then “Diablo IV” is coming soon so probably that first …

@BobWilliams Definitely, not just you 🙂 I feel the same way and make a conscious effort to reduce the number of people I follow when my timeline starts becoming too busy …

I hit a point where I’ll feel as if I’m just drowning trying to keep up and that I’m mostly reading but not interacting. Then I try to cut down on the timeline (or move some people over to lists so that they don’t hit the main timeline) so that I have less stuff to deal with. Seems to improve things … at least for me …

@matthras I’m curious about the “too smart” part too. Are you simply saying that ChatGPT is not very smart? Or something that I’m not getting?

@vicki

@davemark Only tangentially related to your question (and no, not an answer 😛) I’ve been debating over playing the game for years now …. Given what I’ve seen written about the game, it sounds as if it’s got a lot of emotional pull, but it also feels to me (partly based on the TV show but I felt the same way before) that it could be emotionally draining — that you’d get to care about the characters but then be devastated at what they go through …

So I stil keep going back and forth about actually playing ,… I have the original (and possibly the new remake) in my library as part of PlayStation Plus (or whatever they are calling it) but I don’t know if I want to play …

Call me contrary, but when I see people saying “I want to work at <Apple/Google/Microsoft>”, I ask, “Why?”

Somebody at work told me recently that Apple would want to hire me because I did/knew something only like 10 people in the world could do and 7 of them worked at Apple. So I was like, “If 7 of them are at Apple, why would Apple want to hire me?”

Plus, I don’t want to work at Apple 😛

I’ve been at Apple as a visitor and seen what the culture is like, and I really don’t want to work at that kind of place. Plus, I really like working from home and based on what I saw (and what I’ve read since the pandemic) Apple really does not seem to like people working from home. Based on what I saw, that tallies.

So why would I work for a company which has diametrically opposed viewpoints to mine? Just because it says “something” about me? Or because I think they might pay me a lot better and money fixes everything?

I do think that if I did that, it would say something about me, but not the same “something” that others are thinking of. Personally, I’d think that I put other people’s opinion of what I am over my own comfort. And I don’t want to do that …

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Boosted 3 papers in the cs.CV category (and one outside) out of a total of 49 new and updated papers on arXiv.org today.

On to other things now …

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"In What Languages are Generative Language Models the Most Formal? Analyzing Formality Distribution across Languages" — Measuring the formality of the generated text for different languages using multilingual generative language models.

Paper: https://arxiv.org/abs/2302.12299

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Differences between formal and …