Tempest in a tea cup
Midjourney 4 AI Art
#stablediffusion #dalle2 #dalle #aiart #nightcafe #midjourney

#FotoMontag
#PhotoMonday
#Photography
Nuremberg, #Germany

A bison at 35 below zero. Yellowstone National Park, USA. Photo: Tom Murphy

Most of my embroidery is intuitive in that I pick colors and sometimes a stitch and then I just let the threads talk to each other. If anyone speaks “thread,” I’d love a translation cuz these had something to say.

#Embroidery

The experience of deja vu occurs when someone in the future who's reading your biography loses their place, and flips back a few pages to reread them.

Posted regarding 8 papers in the cs.CV category (and two from other categories) out of a total of 76 papers in the cs.CV category on arXiv.org today …

On to other stuff now 🙂

#AI #CV #NewPapers #DeepLearning #MachineLearning

"PDEBENCH: An Extensive Benchmark for Scientific Machine Learning. (arXiv:2210.07182v4 [cs.LG] UPDATED)" — A benchmark suite of time-dependent simulation tasks based on Partial Differential Equations (PDEs), which comprises both code and data to benchmark the performance of novel machine learning models against both classical numerical simulations and machine learning baselines.

Paper: http://arxiv.org/abs/2210.07182
Code: https://github.com/pdebench/PDEBench

#AI #CV #NewPaper #DeepLearning #MachineLearning

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PDEBENCH provides multiple non-…

"Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers. (arXiv:2208.06980v3 [cs.CV] UPDATED)" — A faster attention condenser design called double-condensing attention condensers that allow for highly condensed feature embeddings.

Paper: http://arxiv.org/abs/2208.06980

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Proposed AttendNeXt architectur…

"IKEA-Manual: Seeing Shape Assembly Step by Step. (arXiv:2302.01881v1 [cs.CV])" — A dataset consisting of 102 IKEA objects paired with assembly manuals to help improve/test shape assembly activities since the manuals provide step-by-step guidance on how we should move and connect different parts in a convenient and physically-realizable way.

Paper: http://arxiv.org/abs/2302.01881

#AI #CV #NewPaper #DeepLearning #MachineLearning

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IKEA-Manual, a dataset for step…

"BackdoorBox: A Python Toolbox for Backdoor Learning. (arXiv:2302.01762v1 [cs.CR])" — An open-sourced Python toolbox that implements representative and advanced backdoor attacks and defenses under a unified and flexible framework to help detect and possibly defend against backdoor attacks against deep neural networks (DNNs).

Paper: http://arxiv.org/abs/2302.01762
Code: https://github.com/THUYimingLi/BackdoorBox

#AI #CV #NewPaper #DeepLearning #MachineLearning

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The framework of BackdoorBox

Possession is nine-tenths of The Exorcist.

“Creating a Large Language Model of a Philosopher” — Tries to answer the question: “Can large language models be trained to produce philosophical texts that are difficult to distinguish from texts produced by human philosophers?” by fine-tuning OpenAI's GPT-3 with the works of philosopher Daniel C. Dennett.

Paper: https://arxiv.org/abs/2302.01339

#AI #CL #NewPaper #DeepLearning #MachineLearning #Language

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A graph showing the success rat…

“Towards Attention-aware Rendering for Virtual and Augmented Reality” — An attention-aware model of contrast sensitivity based on measuring contrast sensitivity under different attention distributions and discovering that sensitivity in the periphery drops significantly when the user is required to allocate attention to the fovea.

Paper: https://arxiv.org/abs/2302.01368

#NewPaper #HumanComputerInteraction #Graphics #VR #AR #ImageProcessing #VideoProcessing

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Foveated graphics techniques re…

"The Learnable Typewriter: A Generative Approach to Text Line Analysis. (arXiv:2302.01660v1 [cs.CV])" — A generative document-specific approach to character analysis and recognition in text lines which builds on unsupervised multi-object segmentation methods, and in particular, those that reconstruct images based on a limited amount of visual elements, called sprites. This approach can learn a large number of different characters and leverage line-level annotations when available.

Paper: http://arxiv.org/abs/2302.01660
Code: https://github.com/ysig/learnable-typewriter

#AI #CV #NewPaper #DeepLearning #MachineLearning

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The Learnable Typewriter. (a) G…

"Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in Image Classification. (arXiv:2302.01642v1 [cs.CV])" — An effective and efficient gradient-free Convolutional Neural Network (CNN) interpretation algorithm which can significantly reduce the times of forward propagation by splitting the feature maps into clusters in an unsupervised manner.

Paper: http://arxiv.org/abs/2302.01642

#AI #CV #NewPaper #DeepLearning #MachineLearning

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The heatmaps are produced by di…

"CTE: A Dataset for Contextualized Table Extraction. (arXiv:2302.01451v1 [cs.CL])" — A task which aims to extract and define the structure of tables considering the textual context of the document providing data that helps you with document layout analysis and table understanding using a dataset which comprises 75k fully annotated pages of scientific papers, including more than 35k tables.

Paper: http://arxiv.org/abs/2302.01451

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Example page (content is intent…

"Understanding and contextualising diffusion models. (arXiv:2302.01394v1 [cs.CV])" — An explanation about how common diffusion models work by focusing on the mathematical theory behind them, i.e. without analyzing in detail the specific implementations and related methods.

Paper: http://arxiv.org/abs/2302.01394

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Intuitive representation of the…

A total of 74 papers in the cs.CV category on arXiv.org today — 57 new, 17 updated.

Time to read some more #MachineLearning papers 😛

#AI #CV #NewPapers #DeepLearning

#Introduction time! 👋 I am an #engineering #professor at Queen's University in Kingston, #Canada. My expertise is in field and mobile #robotics. I have a newish interest in applications of #machinelearning to #control and #navigation problems. Previously worked as an #engineer at #space #robotics firm MDA. Also currently serve as Director at the Ingenuity Labs Research Institute. My #math #teacher wife and I have three #kids and we enjoy #golf.

I don't see a whole lot of aerial robots, mobile robots, or even autonomous cars on here. There anyone I should be following?