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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: 🇱🇰🇸🇦🇺🇸🇳🇿🇸🇬🇲🇾🇦🇪🇫🇷🇪🇸🇵🇹🇶🇦🇨🇦

Driftwood Sunrise! Another shot from my recent visit to Hatteras Island on North Carolina's Cape Hatteras National Seashore. It never disappoints.

Give Art Not Candy: https://fon-denton.pixels.com/featured/driftwood-sunrise-fon-denton.html

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Cap cloud over Mt Rainier, Washington:

photo by Kelley Cyr
https://www.facebook.com/Kelley.Cyr

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The Space Needle appears to be taking off from the fog in Seattle, Washington with Mt Rainier on the horizon:

photo by Steve T. Luong
https://stevenluong.darkroom.com/

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Someday you will meet someone who laughs at all your jokes. Do not trust this person. They are most likely a spy, or a Scientologist. Your jokes are terrible.

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Fahim Farook

Been switching between several different Mastodon clients recently, trying to figure out what works best for us and so far, I think Tusker (https://apps.apple.com/us/app/tusker/id1498334597) is the one which works the best for my own needs (and that of my wife) …

Some features are a bit harder to find, but the overall app shows a level of care and consideration that indicates that this is an app which has been in development over time and that the developer uses the app personally. It has a lot of the features that I wanted and about the only major thing it’s missing is the ability to edit posts.

I’m using it on macOS as a Catalyst app and there are some minor personal niggles of mine on macOS, but since the source is available, I’ll be making the changes myself (and sharing with the author if they would like to add it to the main app).

For the time being, I think I’m sorted 😛

#MastodonClient #Software #macOS #Tusker
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Fahim Farook

And that's another round of paper reading done! Posted about 9 papers out of 43 in the cs.CV category on arXiv.org today ...

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

"Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners. (arXiv:2108.13161v7 [cs.CL] CROSS LISTED)" — A novel pluggable, extensible, and efficient large-scale pre-trained language model approach which can convert small language models into better few-shot learners without any prompt engineering.

Paper: http://arxiv.org/abs/2108.13161
Code: https://github.com/zjunlp/DART

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
The architecture of DifferentiA…
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Fahim Farook

"VN-Transformer: Rotation-Equivariant Attention for Vector Neurons. (arXiv:2206.04176v3 [cs.CV] UPDATED)" — A novel "VN-Transformer" architecture to address several shortcomings of the current Vector Neuron (VN) models.

Paper: http://arxiv.org/abs/2206.04176

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
VN-Transformer (“early fusion”)…
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Fahim Farook

"Towards Arbitrary Text-driven Image Manipulation via Space Alignment. (arXiv:2301.10670v1 [cs.CV])" — A new Text-driven image Manipulation framework via Space Alignment (TMSA) which aims to align the same semantic regions in CLIP and StyleGAN spaces so that the text input can be directly accessed into the StyleGAN space and be used to find the semantic shift according to the text description.

Paper: http://arxiv.org/abs/2301.10670

#AI #CV #NewPaper #DeepLearning #MachineLearning

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

"Toward Realistic Evaluation of Deep Active Learning Algorithms in Image Classification. (arXiv:2301.10625v1 [cs.CV])" — An Active Learning (AL) benchmarking suite and a set of extensive experiments on five datasets shedding light on the questions: when and how to apply AL.

Paper: http://arxiv.org/abs/2301.10625

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
The Active Learning loop featur…
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Fahim Farook

"An Efficient Approximate Method for Online Convolutional Dictionary Learning. (arXiv:2301.10583v1 [cs.CV])" — An approximate online convolutional dictionary learning (OCDL) method that incorporates sparse decomposition of the training samples which addresses optimization problems using the alternating direction method of multipliers.

Paper: http://arxiv.org/abs/2301.10583
Code: https://github.com/farshadgveshki/approximate-online-convolutional-dictionary-learning

#AI #CV #NewPaper #DeepLearning #MachineLearning

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

"Variation-Aware Semantic Image Synthesis. (arXiv:2301.10551v1 [cs.CV])" — A new requirement for semantic image synthesis (SIS) to achieve more photorealistic images, variation-aware, which consists of inter- and intra-class variation.

Paper: http://arxiv.org/abs/2301.10551

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Examples of class-level mode co…
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Fahim Farook

"DEJA VU: Continual Model Generalization For Unseen Domains. (arXiv:2301.10418v1 [cs.LG])" — A framework that focuses on improving models' target domain generalization (TDG) capability, while also achieving effective target domain adaptation (TDA) capability right after training on certain domains and forgetting alleviation (FA) capability on past domains.

Paper: http://arxiv.org/abs/2301.10418

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Overview of applying our framew…
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Fahim Farook

"Local Feature Extraction from Salient Regions by Feature Map Transformation. (arXiv:2301.10413v1 [cs.CV])" — A framework that robustly extracts and describes salient local features regardless of changing light and viewpoints by suppressing illumination variations and encouraging structural information to ignore the noise from light and to focus on edges.

Paper: http://arxiv.org/abs/2301.10413

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Proposed framework. Network con…
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Fahim Farook

"A Fast Feature Point Matching Algorithm Based on IMU Sensor. (arXiv:2301.10293v1 [cs.CV])" — An algorithm using the inertial measurement unit (IMU) to optimize the efficiency of image feature point matching, in order to reduce the time consumed when matching feature points in simultaneous localization and mapping (SLAM).

Paper: http://arxiv.org/abs/2301.10293

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Two adjacent frames. The left i…
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Fahim Farook

A total of 43 papers in the cs.CV category on arXiv.org today — 33 new, 10 updated.

Onwards to the papers!

#AI #CV #NewPapers #DeepLearning #MachineLearning
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We (@emilymbender, @mmitchell_ai and I) are organizing a virtual Stochastic Parrots Day on March 17. We thought it was time for a retrospective, & plan to discuss the current landscape, how we got here & where we need to go instead. Sign up below to join us.
https://www.eventbrite.com/e/stochastic-parrots-day-tickets-524219965027

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I'm giving away up to ten copies of my book, A Programmer's Guide to Computer Science. If this would be useful to you but you cannot currently afford it, leave a comment and I'll message you this weekend for your contact information.

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