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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

"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

<<Find this useful? Please boost so that others can benefit too 🙂>>
Proposed AttendNeXt architectur…
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Fahim Farook

"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

<<Find this useful? Please boost so that others can benefit too 🙂>>
IKEA-Manual, a dataset for step…
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Fahim Farook

"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

<<Find this useful? Please boost so that others can benefit too 🙂>>
The framework of BackdoorBox
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Fahim Farook

Reply to
@AngelaPreston I guess the things to try (you might have already tried these …) would be:
1. Clear browser cache
2. Logout of the account and log back in
3. If you have access to a VPN, try with the VPN on/off

Those would be what I’d try first in case this is somehow device/location specific. I do have the issue with getting about four posts on my particular server but that’s an Akkoma instance and my guess is that Akkoma has its own issues sometimes.

Hopefully, some of the above helps?
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liam@ioc.exchange

Red Herring Bear verified

Possession is nine-tenths of The Exorcist.

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Fahim Farook

“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

<<Find this useful? Please boost so that others can benefit too 🙂>>”
A graph showing the success rat…
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Fahim Farook

“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

<<Find this useful? Please boost so that others can benefit too 🙂>>
Foveated graphics techniques re…
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Fahim Farook

"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

<<Find this useful? Please boost so that others can benefit too 🙂>>
The Learnable Typewriter. (a) G…
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Fahim Farook

"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

<<Find this useful? Please boost so that others can benefit too 🙂>>
The heatmaps are produced by di…
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Fahim Farook

Reply to
@DaNanner Hadn’t even thought of audiobooks. I never really do, till somebody suggests it — so, thanks for the suggestion 🙂 Will have to check to see if there are any available …

Apparently there’s three books in the series and it looks as if he’s doing a book a year and releasing in September. So will have something to catch up on if I get into it I guess 😛

We watch a lot of British TV and so we knew of him from various panel shows. But I don’t think many in the US would have heard of him ….
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Fahim Farook

"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…
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Fahim Farook

"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

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

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
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Fahim Farook

Reply to
@AngelaPreston Are you using a specific client? Or just the browser based interface provided by the server?
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botprof@sigmoid.social

Joshua Marshall

time! 👋 I am an at Queen's University in Kingston, . My expertise is in field and mobile . I have a newish interest in applications of to and problems. Previously worked as an at firm MDA. Also currently serve as Director at the Ingenuity Labs Research Institute. My wife and I have three and we enjoy .

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Fahim Farook

Reply to @RamenCatholic@mindly.social
@RamenCatholic I hadn’t written in a long time but a few months back got into it just by simply starting a serialised story on my blog. Just needing to have another post ready to go the next day kept me going for a good two weeks … and then I slipped and haven’t written again for a while 😛

Hoping to try that again here by doing a story post once a week and see how it goes. Wrote the first instalment yesterday actually but haven’t published it yet. Possibly sometime this week and then I’ll see how it goes …
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micahcorah@sigmoid.social

Micah Corah

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

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macarenaquiroga@datasci.social

Macarena Quiroga

Edited 3 years ago

Hi! 👋
I've recently migrated to DataSci instance, so it's time for a new introduction:

I'm from Buenos Aires, Argentina. I'm a linguist doing a PhD in Education in the University of Buenos Aires. I'm a enthusiast and I've recently started to learn .

I have a blog where I write about code, generative art, and education, mostly in Spanish but trying to keep it bilingual: https://macarenaquiroga.netlify.app/

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foundview@sfba.social

foundview

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peggycollins@socel.net

Peggy Collins

I love creating fantasy flowers like this bejewelled iris with an amethyst embedded in its petals.

Artwork available at https://peggy-collins.pixels.com/featured/bejeweled-iris-flower-peggy-collins.html

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