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I'm a bit of an eclectic mess ๐Ÿ™‚ 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: ๐Ÿ‡ฑ๐Ÿ‡ฐ๐Ÿ‡ธ๐Ÿ‡ฆ๐Ÿ‡บ๐Ÿ‡ธ๐Ÿ‡ณ๐Ÿ‡ฟ๐Ÿ‡ธ๐Ÿ‡ฌ๐Ÿ‡ฒ๐Ÿ‡พ๐Ÿ‡ฆ๐Ÿ‡ช๐Ÿ‡ซ๐Ÿ‡ท๐Ÿ‡ช๐Ÿ‡ธ๐Ÿ‡ต๐Ÿ‡น๐Ÿ‡ถ๐Ÿ‡ฆ๐Ÿ‡จ๐Ÿ‡ฆ

Morning all,

I wish you all a happy Monday.

A shot of a beautiful little Robin for todays image, the local nature reserve has many of these at this time of year, and they are all fearless, happy to get really close.

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in another entry for i give you this very nice mourning dove sitting on the edge of a platform bird feeder. all birds are good birds, even the ones that may normally get overlooked or are rather common where you are

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New preprint "Opaque prior distributions in Bayesian latent variable models", where we describe issues with priors that are easy to overlook and that can lead to incorrect or irreproducible results. The paper is informed by mistakes that I've made over the years.

https://arxiv.org/abs/2301.08667

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Noa Kallioinen gave a short tutorial on how to do prior and likelihood sensitivity analysis (prior sensitivity can be due to prior-likelihood conflict or due to a weak likelihood) with `priorsense` R package in Bayes@Lund and the 18min video is now available https://www.youtube.com/watch?v=TBXD3HjcIps&list=PLUEhQLNNQrgndd7_ZY-U5x9lYssl25jmd&index=13

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Arcades never died. They just returned to the wild

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Roxi Horror ๐Ÿ’€๐ŸŒธ

That feeling when he says you look angelic but you donโ€™t know if he means you look really pretty or if you have an abnormally high number of eyeballs.

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๐•ฟ๐–—๐–Ž๐–‹๐–‘๐–Ž๐–“๐–Œ๐•ฟ๐–—๐–Š๐–Šโ“

Art Nouveau style spacesuit with helmet
Midjourney 4 AI Art

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๐•ฟ๐–—๐–Ž๐–‹๐–‘๐–Ž๐–“๐–Œ๐•ฟ๐–—๐–Š๐–Šโ“

Colorful Baby Salamander
Midjourney 4 AI Art

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Fahim Farook

I haven't been posting any #StableDiffusion images since I was busy coding and writing and doing other stuff ...

But I've been generating images. These are from prompts ranging from "a cross between an egg and a rabbit" to "a creature with a large white egg as its body, white rabbit ears, a whiskered face, and rabbit paws and legs, blue sky with clouds, lots of trees in the background" ...

I was trying to get one image to match a story I was writing but I had to try various prompts to get something I was even happy with. And in the end, I didn't use any of these images ๐Ÿ˜›

#AIArt #StableDiffusion #DeepLearning #MachineLearning #CV #AI
Prompt: โ€œa cross between an eggโ€ฆ
Prompt: โ€œa creature with a largโ€ฆ
Prompt: โ€œa creature with a largโ€ฆ
Prompt: โ€œa creature with a largโ€ฆ
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Fahim Farook

And thatโ€™s the start of another week of new paper reading โ€” boosted 8 papers out of a total of 84 new and updated papers in the cs.CV category on arXiv.org

That feels like a whole lot of papers today โ€ฆ just another Monday, eh? ๐Ÿ˜›

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

"Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training. (arXiv:2210.07688v2 [cs.CL] UPDATED)" โ€” A study of the object hallucination problem in large-scale Vision-Language Pre-trained (VLP) models from multiple aspects.

Paper: http://arxiv.org/abs/2210.07688
Code: No code in linked repo

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too ๐Ÿ™‚>>
Comparison of image captioning โ€ฆ
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Fahim Farook

"Dive into Deep Learning. (arXiv:2106.11342v4 [cs.LG] UPDATED)" โ€” An open-source book on Deep Learning based on Jupyter Notebooks so that it contains interactive examples. Freely available and well-worth checking out.

Paper: http://arxiv.org/abs/2106.11342
Code: https://github.com/d2l-ai/d2l-en
Book: https://d2l.ai/

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too ๐Ÿ™‚>>
Image of book cover for Dive inโ€ฆ
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Fahim Farook

"Scaling Vision Transformers to 22 Billion Parameters. (arXiv:2302.05442v1 [cs.CV])" โ€” A recipe for highly efficient and stable training of a 22B-parameter Vision Transformers (ViT) overtaking the previously known 4B parameter model.

Paper: http://arxiv.org/abs/2302.05442

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too ๐Ÿ™‚>>
Dense prediction from frozen Viโ€ฆ
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Fahim Farook

Sometimes, reading #MachineLearning papers, I find my brain turning off โ€” I read the words, but I donโ€™t get the meaning. I have to then stop myself and go back and read each of the words individually to make sense of them โ€ฆ

This probably is a sign that I need to stop reading papers ๐Ÿ˜› But does this happen to anybody else? I think Iโ€™ve started doing this for everything, even fiction, and thatโ€™s why I canโ€™t read as much any longer โ€ฆ
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Fahim Farook

"Rumor Classification through a Multimodal Fusion Framework and Ensemble Learning. (arXiv:2302.05289v1 [cs.CV])" โ€” A set of advanced image features that are inspired from the field of image quality assessment, to assess message veracIty in social networks, which exploits all message features by exploring various machine learning models.

Paper: http://arxiv.org/abs/2302.05289

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too ๐Ÿ™‚>>
An overview of the proposed rumโ€ฆ
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Fahim Farook

"Archaeological Sites Detection with a Human-AI Collaboration Workflow. (arXiv:2302.05286v1 [cs.CV])" โ€” Using pre-trained semantic segmentation deep learning models to detect archaeological sites within the Mesopotamian floodplains environment.

Paper: http://arxiv.org/abs/2302.05286
Code: https://github.com/mister-magpie/tell_segmentation

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too ๐Ÿ™‚>>
Investigation area. Orange dotsโ€ฆ
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Fahim Farook

"CEN-HDR: Computationally Efficient neural Network for real-time High Dynamic Range imaging. (arXiv:2302.05213v1 [cs.CV])" โ€” A new computationally efficient neural network based on a light attention mechanism and sub-pixel convolution operations for real-time HDR imaging.

Paper: http://arxiv.org/abs/2302.05213
Code: https://github.com/steven-tel/CEN-HDR

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too ๐Ÿ™‚>>
Qualitative comparison of the pโ€ฆ
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Fahim Farook

"DOMINO: Domain-aware Loss for Deep Learning Calibration. (arXiv:2302.05142v1 [cs.CV])" โ€” A domain-aware loss function to calibrate deep learning models so as to avoid the potential dangers of uncalibrated models in medical imaging.

Paper: http://arxiv.org/abs/2302.05142
Code: https://github.com/lab-smile/DOMINO

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too ๐Ÿ™‚>>
Confusion matrices on testing sโ€ฆ
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