Posts
1606
Following
138
Followers
882
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: 🇱🇰🇸🇦🇺🇸🇳🇿🇸🇬🇲🇾🇦🇪🇫🇷🇪🇸🇵🇹🇶🇦🇨🇦

🦫 A fit beaver goes about his business.

Photograph: Manuel Gruber (Austria).
@manuelgruber_fotografie

0
3
1

Something different from my usual wild horses. Just got back from a trip to North Carolina's Outer Banks and Cape Hatteras National Seashore. These sunrises made it worth getting up in the dark.

Find Prints Here: https://fon-denton.pixels.com/featured/hatteras-sunrise-fon-denton.html

0
10
1

You can tell my fine motor skills are off here 😄 as my hands shake, circles are impossible, but here is an of a bicycle.

3
8
1

Fahim Farook

Yesterday's #StableDiffusion prompt was: "Unseen Academicals".

The results were the most diverse and furthest away from anything to do with the original #DiscWorld title that I've gotten so far 🙂 But on the other hand, the prompt is rather abstract ...

I am reaching the end of the DiscWorld title list and it might be time to take a break from DiscWorld and try something else for a few days?

#AIArt #DeepLearning #MachineLearning #CV #AI
Stable Diffusion prompt: "Unsee…
Stable Diffusion prompt: "Unsee…
Stable Diffusion prompt: "Unsee…
Stable Diffusion prompt: "Unsee…
1
1
4

Fahim Farook

I was a bit slower to complete the reading of the papers today — a bit of a distracted day. But at the end, posted about 9 papers in the cs.CV category out of a total of 60 new (and updated) papers on arXiv.org today ...

#AI #CV #NewPapers #DeepLearning #MachineLearning
0
0
0

Fahim Farook

"Intelligent Painter: Picture Composition With Resampling Diffusion Model. (arXiv:2210.17106v2 [cs.CV] UPDATED)" — An intelligent painter that generate a person's imaginary scene in one go, given explicit hints as to the objects to appear in the final image, their placement in the image etc.

Paper: http://arxiv.org/abs/2210.17106
Code: https://github.com/vinesmsuic/ipainter-diffusion

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
The architecture of the propose…
0
2
1

Fahim Farook

"Provably Convergent Plug & Play Linearized ADMM, applied to Deblurring Spatially Varying Kernels. (arXiv:2210.10605v3 [cs.CV] UPDATED)" — A plug & play framework based on linearized ADMM that allows you to bypass the computation of intractable proximal operators.

Paper: http://arxiv.org/abs/2210.10605
Code: https://github.com/claroche-r/pnp_ladmm

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Example of sample from the test…
0
1
1

Fahim Farook

"Self-Supervised Learning Through Efference Copies. (arXiv:2210.09224v2 [cs.LG] UPDATED)" — A paper which shows that the commonly used self-supervised learning approach of transforming each training datapoint into a pair of views, using the knowledge of this pairing as a positive (i.e. non-contrastive) self-supervisory sign, and potentially opposing it to unrelated, (i.e. contrastive) negative examples is an incomplete implementation of a concept from neuroscience, the Efference Copy (EC).

Paper: http://arxiv.org/abs/2210.09224

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Efference copy (EC). A) Sensory…
0
0
0

For this week’s we’re off to and this 600 year old olive tree.

0
4
1

Bishop's Beach in Homer, yesterday morning.
📸 by Edward Marsh

1
7
1

Fahim Farook

"Continual Transformers: Redundancy-Free Attention for Online Inference. (arXiv:2201.06268v3 [cs.AI] UPDATED)" — A novel formulations of the Scaled Dot-Product Attention, which enable Transformers to perform efficient online token-by-token inference on a continual input stream.

Paper: http://arxiv.org/abs/2201.06268
Code: https://github.com/lukashedegaard/continual-transformers

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Multi-block Continual Transform…
0
2
3

Fahim Farook

"Model soups to increase inference without increasing compute time. (arXiv:2301.10092v1 [cs.CV])" — A comparison of Model Soups performances on three different models (ResNet, ViT and EfficientNet) using three Soup Recipes (Greedy Soup Sorted, Greedy Soup Random and Uniform soup) and a new Soup Recipe called Pruned Soup with better performance.

Paper: http://arxiv.org/abs/2301.10092
Code: https://github.com/milo-sobral/modelsoup

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
A table showing the accuracies …
0
1
0

Fahim Farook

"Side Eye: Characterizing the Limits of POV Acoustic Eavesdropping from Smartphone Cameras with Rolling Shutters and Movable Lenses. (arXiv:2301.10056v1 [cs.CR])" — A paper discussing the limits of acoustic information leakage caused by structure-borne sound that perturbs the POV of smartphone cameras.

Paper: http://arxiv.org/abs/2301.10056

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Illustration of the POV optical…
0
0
0

Fahim Farook

"Progressive Meta-Pooling Learning for Lightweight Image Classification Model. (arXiv:2301.10038v1 [cs.CV])" — A framework to make the receptive field learnable for a lightweight network, unlike the conventional efficient learning methods which ignore the role of the receptive field in neural network design, by using parameterized pooling-based operations.

Paper: http://arxiv.org/abs/2301.10038

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Overview of the proposed Meta-P…
0
1
1

Fahim Farook

"Transfer Learning for Olfactory Object Detection. (arXiv:2301.09906v1 [cs.CV])" — An investigation of the effect of style and category similarity in multiple datasets used for object detection pretraining. The paper discusses using object recognition as a basis for the indirect recognition of more complex and meaningful "smell" references such as gestures and spaces.

Note: Similar to another paper, the word "olfactory" in the title confused me. Is "olfactory" being used in a slightly different context in machine learning?

Paper: http://arxiv.org/abs/2301.09906

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Smell. The Five Senses. 1558 – …
0
1
1

Fahim Farook

"ODOR: The ICPR2022 ODeuropa Challenge on Olfactory Object Recognition. (arXiv:2301.09878v1 [cs.CV])" — The challenge aims to foster the development of object detection in the visual arts and to promote an olfactory perspective on digital heritage. It appears that they concentrate on smell-relevant objects rather than using smell to detect objects ...

Note: The use of the word "olfactory" is a bit confusing, in my opinion, in this paper and one other which came out today.

Paper: http://arxiv.org/abs/2301.09878

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Example image from the challeng…
0
1
0

Fahim Farook

A total of 60 papers in the cs.CV category on arXiv.org today — 37 new, 23 updated.

Time for the ol' reading spree ...

#AI #CV #NewPapers #DeepLearning #MachineLearning
0
0
0

In the 2023/2024 academic year, we're launching a new Master's in Cognitive Science at the University of Rijeka. It's an interdisciplinary research-intensive course in English, pedagogically innovative, comparatively cheap (both for EU and non-EU students), accredited, and in beautiful Rijeka!

https://cogsci.uniri.hr/

2
2
0
Tusker is an excellent Mastodon iOS app that has just moved from beta onto the Apple app store. Check it out. It’s free. And it’s very good. #mastodon #Tusker
1
2
0
Show older