Check out this gorgeous kitty cat aka Lynx! Just stunning in every way possible. Those paws, the color of the coat...simply gorgeous. 😻
#AlaskaCats #AlaskaWildlife
📸 by Katy Doty

It's #WerewolfWednesday, and I have a story I really wanna share:

In 1691 an 80-something Livonian man named Old Thiess was called to court as a witness in a theft case. As he was sworn in, another witness laughed: "How can he swear a holy oath when everyone knows he is a werewolf?"

The judges immediately forgot about the thief and put Old Thiess on trial. He calmly admitted that yes, indeed he was a werewolf.
1/6

#folklore #werewolves

#introduction radio free fedi is a small web, consent driven, artist populated, non-commercial, attribution promoting, community radio

we are now ready to accept more submissions, and are here to promote sound and music artists, their support links, desired license and fedi presence if they wish in an eclectic and fun radio format

24/7 music from the fedi with "theNews" at the top of each hour

https://radiofreefedi.net

keep fedi weird

#radio #community #fedimusic #fediart #music #art

Today turned out to be a light day for paper reading — only 7 papers in the cs.CV category, and 3 from other categories on arXiv posted.

But hey, the weekend is almost here 😛

#AI #CV #NewPapers #DeepLearning #MachineLearning

Spring in the City
By Sabantha

The Promise - a half opened your sunflower. #Sunflower #Romantic #2023 AYearForArt #BuyArtNotCandy #AYearForArt #JanuaryJoy #Art #Artist #LoveArt #IrisRichardsonArtist #ArtCollector #ArtMatters #mastoart #FediGiftShop
https://www.pictorem.com/598336/Half%20Opened%20Sunflower.html

"Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval. (arXiv:2302.01332v1 [cs.LG])" — A Bayesian encoder for metric learning which, rather than relying on neural amortization as done in prior works, learns a distribution over the network weights with the Laplace Approximation.

Paper: http://arxiv.org/abs/2302.01332

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Reliable stochastic embeddings.…

"Dual PatchNorm. (arXiv:2302.01327v1 [cs.CV])" — Experiments with adding two Layer Normalization layers (LayerNorms), before and after the patch embedding layer in Vision Transformers, to see how it affects accuracy.

Paper: http://arxiv.org/abs/2302.01327

#AI #CV #NewPaper #DeepLearning #MachineLearning

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The plot displays the accuracy …

"Deep reinforcement learning for the olfactory search POMDP: a quantitative benchmark" — Using deep reinforcement learning to search for a source of odor in turbulence, as applicable to sniffer robots.

Paper: https://arxiv.org/abs/2302.00706

#NewPaper #Robotics #DeepLearning

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Illustration of the olfactory s…

"Why Combining Text and Visualization Could Improve Bayesian Reasoning: A Cognitive Load Perspective" — An examination of the cognitive load elicited when solving Bayesian problems using icon arrays, text, and a juxtaposition of text and icon arrays.

Paper: https://arxiv.org/abs/2302.00707

#NewPaper #HumanComputerInteraction #HC

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An illustrative overview of our…

"CrazyChoir: Flying Swarms of Crazyflie Quadrotors in ROS 2" — A modular Python framework based on the Robot Operating System (ROS) 2 which provides a comprehensive set of functionalities to simulate and run experiments on teams of cooperating Crazyflie nano-quadrotors.

Paper: https://arxiv.org/abs/2302.00716

#NewPaper #Robotics

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CRAZYCHOIR architecture. Crazyf…

"Real-Time Evaluation in Online Continual Learning: A New Paradigm. (arXiv:2302.01047v1 [cs.LG])" — A practical real-time evaluation of continual learning, in which the stream does not wait for the model to complete training before revealing the next data for predictions.

Paper: http://arxiv.org/abs/2302.01047

#AI #CV #NewPaper #DeepLearning #MachineLearning

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OCL Real-Time Evaluation Exampl…

"Multimodal Chain-of-Thought Reasoning in Language Models. (arXiv:2302.00923v1 [cs.CL])" — A Multimodal Chain-of-Thought that incorporates vision features in a decoupled training framework which separates the rationale generation and answer inference into two stages and incorporates vision features in both stages.

Paper: http://arxiv.org/abs/2302.00923

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Example of the multimodal CoT t…

"Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment. (arXiv:2302.00902v1 [cs.LG])" — A modification of VQ-VAE that learns to align text-image data in an unsupervised manner by leveraging pretrained language models (e.g., BERT, RoBERTa).

Paper: http://arxiv.org/abs/2302.00902

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Language Quantization AutoEnco…

"Disentanglement of Latent Representations via Sparse Causal Interventions. (arXiv:2302.00869v1 [cs.LG])" — A new method for disentanglement inspired by causal dynamics that combines causality theory with vector-quantized variational autoencoders where the model considers the quantized vectors as causal variables and links them in a causal graph.

Paper: http://arxiv.org/abs/2302.00869

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Atomic interventions on one fac…

"SHINE: Deep Learning-Based Accessible Parking Management System. (arXiv:2302.00837v1 [cs.CV])" — A system which uses deep learning object detection algorithms to detect the vehicle, license plate, and disability badges and then authenticates the rights to use the accessible parking spaces by coordinating with a central server.

Paper: http://arxiv.org/abs/2302.00837

#AI #CV #NewPaper #DeepLearning #MachineLearning

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An overview of the methodology

A total of 72 papers in the cs.CV category on arXiv.org today — 56 new, 16 updated.

Let’s read some papers!

#AI #CV #NewPapers #DeepLearning #MachineLearning

CatGPT uncovered! Amongst his top sitting spots.

The next time you use any navigation device, software or Google Maps thank Dr. Gladys West. Her contributions to the mathematical modeling of the shape of Earth, and her work on the development of the satellite models that were eventually incorporated into  the Global Positioning System (GPS) technology. #BlackMastodon #BlackHistoryMonth

On the Fediverse you definitely get more engagement, however, some of that engagement is rather weird 😛

Just over the last 24 hours, I’ve seen at least three such engagements where people make cryptic, drive-by-remarks which either misunderstand the original post, or is completely off the point.

Since I’ve had very little engagement with people I didn’t follow on Twitter, I don’t know if this is normal or not. But it seems a little weird to me …

The one personal engagement of the ones I mentioned above was my wife getting a reply about an art project she was doing. She was doing the art for something I was working on and she mentioned it was at my request. She also mentioned that she was using a particular type of brush. She gets a response saying that she shouldn’t be dictated to as to what type of brush she uses …

We were both mystified since she didn’t say she was using the brushes at my request, nor at anybody else’s. So why the comment? Just poor reading skills? Jumping to conculsions? Or just the need to insert yourself into other people’s lives right or wrong? 😛

I have no idea … (Of course, as a disclaimer, these interactions are the exception. Most interactions here on the Fediverse have been really great and I do like being here way more than Twitter …)