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I'm a bit of an eclectic mess 🙂 I've been a programmer, journalist, editor, TV producer, and a few other things.

I'm currently working on my second novel which is complete, but is in the edit stage. I wrote my first novel over 20 years ago but then didn't write much till now.

I post about #Coding, #Flutter, #Writing, #Movies and #TV. I'll also talk about #Technology, #Gadgets, #MachineLearning, #DeepLearning and a few other things as the fancy strikes ...

Lived in: 🇱🇰🇸🇦🇺🇸🇳🇿🇸🇬🇲🇾🇦🇪🇫🇷🇪🇸🇵🇹🇶🇦🇨🇦
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Fahim Farook

I haven't been posting any #StableDiffusion images since I was busy coding and writing and doing other stuff ...

But I've been generating images. These are from prompts ranging from "a cross between an egg and a rabbit" to "a creature with a large white egg as its body, white rabbit ears, a whiskered face, and rabbit paws and legs, blue sky with clouds, lots of trees in the background" ...

I was trying to get one image to match a story I was writing but I had to try various prompts to get something I was even happy with. And in the end, I didn't use any of these images 😛

#AIArt #StableDiffusion #DeepLearning #MachineLearning #CV #AI
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Fahim Farook

And that’s the start of another week of new paper reading — boosted 8 papers out of a total of 84 new and updated papers in the cs.CV category on arXiv.org

That feels like a whole lot of papers today … just another Monday, eh? 😛

#AI #CV #NewPapers #DeepLearning #MachineLearning
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Fahim Farook

"Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training. (arXiv:2210.07688v2 [cs.CL] UPDATED)" — A study of the object hallucination problem in large-scale Vision-Language Pre-trained (VLP) models from multiple aspects.

Paper: http://arxiv.org/abs/2210.07688
Code: No code in linked repo

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Comparison of image captioning …
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Fahim Farook

"Dive into Deep Learning. (arXiv:2106.11342v4 [cs.LG] UPDATED)" — An open-source book on Deep Learning based on Jupyter Notebooks so that it contains interactive examples. Freely available and well-worth checking out.

Paper: http://arxiv.org/abs/2106.11342
Code: https://github.com/d2l-ai/d2l-en
Book: https://d2l.ai/

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Image of book cover for Dive in…
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Fahim Farook

"Scaling Vision Transformers to 22 Billion Parameters. (arXiv:2302.05442v1 [cs.CV])" — A recipe for highly efficient and stable training of a 22B-parameter Vision Transformers (ViT) overtaking the previously known 4B parameter model.

Paper: http://arxiv.org/abs/2302.05442

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Dense prediction from frozen Vi…
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Fahim Farook

Sometimes, reading #MachineLearning papers, I find my brain turning off — I read the words, but I don’t get the meaning. I have to then stop myself and go back and read each of the words individually to make sense of them …

This probably is a sign that I need to stop reading papers 😛 But does this happen to anybody else? I think I’ve started doing this for everything, even fiction, and that’s why I can’t read as much any longer …
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Fahim Farook

"Rumor Classification through a Multimodal Fusion Framework and Ensemble Learning. (arXiv:2302.05289v1 [cs.CV])" — A set of advanced image features that are inspired from the field of image quality assessment, to assess message veracIty in social networks, which exploits all message features by exploring various machine learning models.

Paper: http://arxiv.org/abs/2302.05289

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
An overview of the proposed rum…
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Fahim Farook

"Archaeological Sites Detection with a Human-AI Collaboration Workflow. (arXiv:2302.05286v1 [cs.CV])" — Using pre-trained semantic segmentation deep learning models to detect archaeological sites within the Mesopotamian floodplains environment.

Paper: http://arxiv.org/abs/2302.05286
Code: https://github.com/mister-magpie/tell_segmentation

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Investigation area. Orange dots…
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Fahim Farook

"CEN-HDR: Computationally Efficient neural Network for real-time High Dynamic Range imaging. (arXiv:2302.05213v1 [cs.CV])" — A new computationally efficient neural network based on a light attention mechanism and sub-pixel convolution operations for real-time HDR imaging.

Paper: http://arxiv.org/abs/2302.05213
Code: https://github.com/steven-tel/CEN-HDR

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Qualitative comparison of the p…
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Fahim Farook

"DOMINO: Domain-aware Loss for Deep Learning Calibration. (arXiv:2302.05142v1 [cs.CV])" — A domain-aware loss function to calibrate deep learning models so as to avoid the potential dangers of uncalibrated models in medical imaging.

Paper: http://arxiv.org/abs/2302.05142
Code: https://github.com/lab-smile/DOMINO

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Confusion matrices on testing s…
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Fahim Farook

"Example-Based Sampling with Diffusion Models. (arXiv:2302.05116v1 [cs.GR])" — A generic way to produce 2-d point sets imitating existing samplers from observed point sets using a diffusion model which addresses the problem of convolutional layers by leveraging neighborhood information from an optimal transport matching to a uniform grid, that allows benefiting from fast convolutions on grids, and to support the example-based learning of non-uniform sampling patterns.

Paper: http://arxiv.org/abs/2302.05116

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Learning Rank-1 realizations us…
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Fahim Farook

A total of 84 papers in the cs.CV category on arXiv.org today — 53 new, 31 updated.

Don’t really feel ready for Monday … but ah, well … on to the papers!

#AI #CV #NewPapers #DeepLearning #MachineLearning
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BirdsinLatin@photog.social

BirdsinLatin

After 2 whole days of sun, the rain came back.... And this beauty as well.
Now we were both soaked, waiting for the shower to end but she gave me all the time to take a few portraits.



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jongranskog@sigmoid.social

Jonathan Granskog

Some mushrooms, moss and lichen from the nearby Beaver forest. BeaverCam only had taken 9 photos so it is staying.

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Fahim Farook

The images show two separate iterations of the same app — the first is a SwiftUI app for doing #StableDiffusion image generation using #CoreML. That took several weeks of work to create and it never really worked right — I could only do single selection of images, couldn’t drag and drop more than one image, and it took a fair amount of time to implement even trivial stuff.

The second is the same app implemented using AppKit. It took essentially one day (yesterday). Multiselection was built-in, drag and drop (for multiple items) was a couple of lines of code, and I implemented a bunch of other things I wanted to do fairly easily.

On top of that, the app feels faster, lighter, and more responsive than the SwiftUI version for the exact same task, using the exact same models.

SwiftUI has a long way to go still, if it will even ever get there …

#Coding #macOS #Swift #SwiftUIvsAppKit
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vegetarianzombie@mastodon.social

Brian Moakley

Another D&D session podcast released - traveling through Wildspace.

Our podcasts have shifted to more "cinematic" replays with lots of background music and sound effects.

Hope you enjoy!

https://open.spotify.com/episode/0ZmwWu4LX5QmQyVuSLIoYZ

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lowqualityfacts@mstdn.social

Low Quality Facts

Sportscaster: I hope you're all ready for Super Bowl Sunday.

Me: No, but I am ready for Superb Owl Sunday haha

Owl: We get one single holiday and it's just a big fucking joke to you people.

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lowqualityfacts@mstdn.social

Low Quality Facts

I only go to Legoland for the discount plastic surgery.
https://patreon.com/lowqualityfacts

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KathyReid@aus.social

Kathy Reid

This is a fascinating article on the increasing use of , by Claudia Forsberg for ABC - the way that sound is designed for movies intended for cinema means that it doesn't play back optimally on mobile devices or streaming services - and this is one factor driving the adoption of or .

But, these are often inaccurate or mis-transcribed. They use technology - and this is another case for having good

https://www.abc.net.au/news/2023-02-12/subtitles-popular-among-general-population-change-tv-film/101956758

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matthewfacciani@mastodon.social

Matthew Facciani

"When asked to draw a scientist, school-age kids in the United States are increasingly sketching women. That's the main conclusion of a new study that compiled information about 20,860 pictures drawn by students age 5 to 18 over 5 decades."

https://www.science.org/content/article/what-does-scientist-look-children-are-drawing-women-more-ever @psychology @sociology

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