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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

"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

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Smell. The Five Senses. 1558 – …
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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

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Example image from the challeng…
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Fahim Farook

Yesterday's #StableDiffusion prompt was: "Making Money".

Not any of the resulting images had anything to do with the #DiscWorld novel, and some didn't even seem to fit the concept of the title, but hey, that's how it goes, right? 😛

#AIArt #DeepLearning #MachineLearning #CV #AI
Stable Diffusion prompt: "Makin…
Stable Diffusion prompt: "Makin…
Stable Diffusion prompt: "Makin…
Stable Diffusion prompt: "Makin…
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Fahim Farook

"The Infinite Index: Information Retrieval on Generative Text-To-Image Models. (arXiv:2212.07476v2 [cs.IR] UPDATED)" — A reframing of prompt engineering for generative models as interactive text-based retrieval on a novel kind of "infinite index".

Paper: http://arxiv.org/abs/2212.07476

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Overview of indexing approaches…
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Fahim Farook

"Look at Adjacent Frames: Video Anomaly Detection without Offline Training. (arXiv:2207.13798v5 [cs.CV] UPDATED)" — A solution to detect anomalous events in videos without the need to train a model offline, based on a randomly-initialized multilayer perceptron that is optimized online to reconstruct video frames, pixel-by-pixel, from their frequency information.

Paper: http://arxiv.org/abs/2207.13798

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Two figures, the first show the…
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Fahim Farook

"Synthesis of Compositional Animations from Textual Descriptions. (arXiv:2103.14675v6 [cs.CV] UPDATED)" — A technique for generating compositional actions, which handles complex input sentences and outputs a 3D pose sequence depicting the actions in the input sentence.

Paper: http://arxiv.org/abs/2103.14675
Code: https://github.com/anindita127/complextext2animation

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Overview of our proposed method…
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Fahim Farook

"Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff. (arXiv:2301.09522v1 [cs.CV])" — A proposal to strengthen the marriage between SNNs and event-based inputs by considering anytime optimal inference SNNs, or AOI-SNNs, which can terminate anytime during the inference to achieve optimal inference result.

Paper: http://arxiv.org/abs/2301.09522
Code: https://github.com/Dengyu-Wu/SNN-Regularisation-Cutoff

#AI #CV #NewPaper #DeepLearning #MachineLearning

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An illustrative diagram showing…
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Fahim Farook

"OvarNet: Towards Open-vocabulary Object Attribute Recognition. (arXiv:2301.09506v1 [cs.CV])" — An examination of the problem of simultaneously detecting objects and inferring their visual attributes in an image, even for those with no manual annotations provided at the training stage, resembling an open-vocabulary scenario.

Paper: http://arxiv.org/abs/2301.09506

#AI #CV #NewPaper #DeepLearning #MachineLearning

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The first row depicts the tasks…
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Fahim Farook

"RainDiffusion:When Unsupervised Learning Meets Diffusion Models for Real-world Image Deraining. (arXiv:2301.09430v1 [cs.CV])" — An unsupervised image deraining paradigm based on diffusion models which introduces stable training of unpaired real-world data instead of weak adversarial training.

Paper: http://arxiv.org/abs/2301.09430

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Image deraining results on a re…
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Fahim Farook

"Computer Vision for a Camel-Vehicle Collision Mitigation System. (arXiv:2301.09339v1 [cs.CV])" — Testing different object detection models on the task of detecting camels on the road since in Saudi Arabia, due to the size of camels, camel-vehicle collisions result in a 25% fatality rate.

Paper: http://arxiv.org/abs/2301.09339

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Example images from the dataset…
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Fahim Farook

"Apples and Oranges? Assessing Image Quality over Content Recognition. (arXiv:2301.09190v1 [cs.CV])" — An investigation of whether image recognition and quality assessment can be performed in a multitask learning manner.

Paper: http://arxiv.org/abs/2301.09190

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Architecture of the proposed IQ…
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Fahim Farook

"Raw or Cooked? Object Detection on RAW Images. (arXiv:2301.08965v1 [cs.CV])" — An investigation of the hypothesis that the intermediate representation of visually pleasing images is sub-optimal for downstream computer vision tasks compared to the RAW image representation.

Paper: http://arxiv.org/abs/2301.08965

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Three qualitative examples from…
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Fahim Farook

"Domain-agnostic and Multi-level Evaluation of Generative Models" — A framework for multi-level performance evaluation of generative models which could be employed across different domains (images, text, graphs, molecules, etc.)

Paper: https://arxiv.org/abs/2301.08750

#AI #NewPaper #DeepLearning #MachineLearning

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Overview of the MPEGO framework…
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Fahim Farook

"Improving Deep Regression with Ordinal Entropy. (arXiv:2301.08915v1 [cs.CV])" — An investigation of the fact that in computer vision, formulating regression problems as a classification task often yields better performance, and shows that classification, with the cross-entropy loss, outperforms regression with a mean squared error loss in its ability to learn high-entropy feature representations.

Paper: http://arxiv.org/abs/2301.08915

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Feature learning of regression …
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Fahim Farook

"A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement. (arXiv:2301.08880v1 [cs.CV])" — A large-scale and high-quality film style dataset to facilitate film-based image stylization research. The dataset includes three different film types and more than 5000 in-the-wild high resolution images.

Paper: http://arxiv.org/abs/2301.08880

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This figure contains input imag…
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Fahim Farook

"Regeneration Learning: A Learning Paradigm for Data Generation. (arXiv:2301.08846v1 [cs.LG])" — A learning paradigm for data generation (e.g., text generation, speech recognition, speech synthesis, music composition, image generation, and video generation) which first generates Y' (an abstraction/representation of the target data, Y) from the source data, X, and then generates Y from Y'.

Paper: http://arxiv.org/abs/2301.08846

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Three types of tasks in machine…
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Fahim Farook

"In-situ Water quality monitoring in Oil and Gas operations. (arXiv:2301.08800v1 [cs.CV])" — a model designed to enable users to determine contamination levels in water bodies with weak reflectance patterns such as small ponds based on satellite images.

Paper: http://arxiv.org/abs/2301.08800

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Image “a”shows data sample from…
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Fahim Farook

"Visual Semantic Relatedness Dataset for Image Captioning. (arXiv:2301.08784v1 [cs.CL])" — A textual visual context dataset for captioning, in which the publicly available dataset COCO Captions has been extended with information about the scene (such as objects in the image).

Paper: http://arxiv.org/abs/2301.08784

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Examples of our proposed COCO b…
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Fahim Farook

This particular #StableDiffusion prompt based on Terry Pratchett novel titles was in the works for a few days — I just wasn't sure about the results since most of them were fairly similar ...

The prompt? "Wintersmith"

Predictably, most of the results were people in winter-wear. I just didn't like the monotony and hence the inclusion of the fox from what looks like the cover of a box of pencils 😛

#AIArt #DeepLearning #MachineLearning #CV #AI #DiscWorld
Stable Diffusion prompt: "Winte…
Stable Diffusion prompt: "Winte…
Stable Diffusion prompt: "Winte…
Stable Diffusion prompt: "Winte…
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Fahim Farook

"Model Complexity-Accuracy Trade-off for a Convolutional Neural Network. (arXiv:1705.03338v1 [cs.CV] CROSS LISTED)" — A study of the model complexity versus accuracy trade-off on MNSIT dataset, providing a concrete framework for handling such a problem, given the worst case accuracy that a system can tolerate.

Paper: http://arxiv.org/abs/1705.03338

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A graph plotting Accuracy vs Mo…
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