"A Picture May Be Worth a Thousand Lives: An Interpretable Artificial Intelligence Strategy for Predictions of Suicide Risk from Social Media Images. (arXiv:2302.09488v1 [cs.AI])" — Predicting suicide risk by evaluating non-verbal inputs such as social media images.

Paper: http://arxiv.org/abs/2302.09488

#AI #CV #NewPaper #DeepLearning #MachineLearning

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"Vulnerability analysis of captcha using Deep learning. (arXiv:2302.09389v1 [cs.CR])" — Using a Convolutional Neural Network (CNN) model to predict text-based CAPTCHAs to examine the flaws inherent in the system and to create more resilient CAPTCHAs.

Paper: http://arxiv.org/abs/2302.09389

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Examples of different alphanume…

"Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension. (arXiv:2302.09301v1 [cs.CL])" — An investigation into the basic geometric properties induced by prompts in Stable Diffusion and how this impact depends on the layer being considered.

Paper: http://arxiv.org/abs/2302.09301

#AI #CV #NewPaper #DeepLearning #MachineLearning

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The output of the model at the …

"Web Photo Source Identification based on Neural Enhanced Camera Fingerprint. (arXiv:2302.09228v1 [cs.CV])" — Using a neural network to identify sensor patterns in an effort to identify the source camera for images published on the web.

Paper: http://arxiv.org/abs/2302.09228
Code: https://github.com/PhotoNecf/PhotoNecf

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Three main stages of source ide…

"A Pilot Evaluation of ChatGPT and DALL-E 2 on Decision Making and Spatial Reasoning. (arXiv:2302.09068v1 [cs.AI])" — An evaluation of ChatGPT and DALL-E2 to assess the spatial reasoning and decision making abilities of each model.

Paper: http://arxiv.org/abs/2302.09068

#AI #CV #NewPaper #DeepLearning #MachineLearning

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DALL-E output for the prompts: …

A total of 91 papers in the cs.CV category on arXiv.org today — 47 new, 44 updated.

On with the reading?

#AI #CV #NewPapers #DeepLearning #MachineLearning

#Garden in Winter

How many native plants to plant? Consider:

Mass plantings better attract and serve pollinators, which are losing habitat where you live.
Pollinators are beautiful and calming to watch, which you need more of in your life.
The cheap seeds can be sown directly in the ground and pots for those unmotivated due to lack of experience with multicolored butterflies fluttering around.

Help yourself and the #environment. Plant a bunch.

More in alt text.

#Nature #Gardening #Flowers

Short #introduction post.

I work as a #data scientist / data science consultant mostly on natural language processing #nlproc and tabular data (though getting more into the #mlops space lately).

My passion is #running, primarily #trailrunning and #ultrarunning. Also a beginner in #mountaineering, #scifi reader and interested in all things #climate.

#datascience #machinelearning
#maths #mathematics #fieldhockey #python

#FotoMontag
#PhotoMonday
#Photography
#NaturePhotography
Pedraforca, #Spain

Aargh!!! Haven’t watched YouTube videos for a while but I think they actually make you even dumber now 😛

In the space of like 10 minutes, I saw two videos — the first tells me that servers are designed to run only one service at a time (e-mail, web server etc.) and you can’t really run more than one on one server and that you have to add more servers if you want other services …

Then I have somebody telling me that you don’t need to look at videos or follow courses but you can have ChatGPT teach you how to program! That it will go on the Internet and pull the information (this is absolutely false as far as I know …).

Sure, ChatGPT will teach you programming, but it’ll also put in a healthy amount of imagined commands whenever it feels like it and if you don’t know anything about programming, you would have no clue as to what you’re learning is accurate info or if it’s BS.

I think it’s time for me to retreat from the world …

#YouTube #Stupidity #RelianceOnAI #Misinformation

Is Ralf Little leaving “Death in Paradise”? Will we get our first female inspector on the show?

Haven’t done any checking online about these, but just random thoughts floating through my head after the latest “Death in Paradise” (hopefully, the above are not considered spoilers since they haven’t happened yet …) and seeing Ralf on “Would I Lie to You?” this week …

I think Ardal O’Hanlon appeared on “QI” or “Would I Lie to You?” after he stepped down as the inspector …. (as opposed to the Dr.) Is it just me who feels as if “Death in Paradise” is following “Dr. Who” a little bit too closely? 😛

#TV #DeathInParadise #Theories

It was a quicker run through than normal, but boosted 7 papers in the cs.CV category on arXiv.org that I found interesting out of a total of 94 new and updated papers today.

On to other stuff …

#AI #CV #NewPapers #DeepLearning #MachineLearning

""Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction. (arXiv:2210.03735v2 [cs.HC] UPDATED)" — A study of how explainability can support human-AI interaction using a real-world AI applicaiton.

Paper: http://arxiv.org/abs/2210.03735

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Screenshots of Merlin, our stu…

"Which country is this picture from? New data and methods for DNN-based country recognition. (arXiv:2209.02429v2 [cs.CV] UPDATED)" — A framework to identify the country where an image was taken, which could be useful in debunking fake news and many other applications.

Paper: http://arxiv.org/abs/2209.02429

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Three sample photos taken from …

"Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent. (arXiv:2302.09057v1 [cs.LG])" — A possible solution to fix the sampling iterations drifting away from the training distribution when generating images using diffusion models.

Paper: http://arxiv.org/abs/2302.09057
Code: https://github.com/giannisdaras/cdm

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Visual comparison of EDM model …

"LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation. (arXiv:2302.08908v1 [cs.CV])" — A method for generating images based on a semantic layout which describes the positioning of the various component elements in the final image.

Paper: http://arxiv.org/abs/2302.08908

#AI #CV #NewPaper #DeepLearning #MachineLearning

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LayoutDiffuse is able to genera…

"Paint it Black: Generating paintings from text descriptions. (arXiv:2302.08808v1 [cs.CV])" — Explores generating paintings based on text input.

Paper: http://arxiv.org/abs/2302.08808

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Examples of paintings generated…

Talking about “Sim” games has brought up a lot of old memories 🙂

@mairhart reminded me about “SimTower” — I still remember the cover that a British gaming mag ran for it, but I don’t remember the name of the magazine 😛 It was a rather interesting entrant in the “Sim” series and got you to do a lot of the city management stuff on a more smaller (but not quite microscopic vs. Macroscopic) level.

Then there was “SimAnt” which I think was all about managing an ant colony? I know I played it but I remember very little about it now …

“SimLife” was what I was really excited about back then because I thought I could create new electronic life, run my own planet, etc. But in reality, if I remember now (30 years later) it was rather boring 😛

But there’s also all the “Civilization” spin-offs. I knew I was forgetting something, but for the life of me I couldn’t remember “Alpha Centauri” till I looked it up 🙂 I still don’t remember much.

And speaking of forgotten games, apparently there was also “Sid Meier's Starships” — despite being one of the newest in the series, I remember nothing about this either. I don’t know if I knew of it and forgot or if I’d just lost all interest in “Civ” games by then and simply didn’t care. But I think I’ll try to find a copy and play it just to see how it goes …

#Gaming #Civ #Sim #Reminiscences

"Fine-grained Cross-modal Fusion based Refinement for Text-to-Image Synthesis. (arXiv:2302.08706v1 [cs.CV])" — Another text-to-image generation approach where, instead of generating the final image from a noisy image, you generate an initial low-resolution image based on the input text and then use a GAN (Generative Adversarial Network) during the second stage to generate the final output.

Paper: http://arxiv.org/abs/2302.08706
Code: https://github.com/haoranhfut/FF-GAN

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Samples generated by Attn-GAN, …

"Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media. (arXiv:2302.08575v1 [cs.CL])" — An open access book about Natural Language Processing (NLP) models and how to build and improve them.

Paper: http://arxiv.org/abs/2302.08575

#AI #CV #NewPaper #DeepLearning #MachineLearning

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