Rabbit as Persephone queen of the Underworld
Midjourney 4 AI Art
#stablediffusion #dalle2 #dalle #aiart #nightcafe #midjourney

Playing around with emoji ss Midjourney prompts
This one is 🌳🐍
Midjourney 4 AI Art
#stablediffusion #dalle2 #dalle #aiart #nightcafe #midjourney

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…

#MountainMonday #photography #BanffNationalPark #LakeMinnewanka #mountains

And that concludes today's reading of the papers with 15 papers in the cs.CV category and 3 others from additional categories on arXiv.org posted ...

#AI #CV #NewPapers #DeepLearning #MachineLearning

"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…

"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…

"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…

"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…

"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…

"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…

"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

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Example images from the dataset…

"Efficient Training Under Limited Resources. (arXiv:2301.09264v1 [cs.LG])" — A demonstration that Neural Architecture Search (NAS), Hyper Parameters Optimization (HPO), and Data Augmentation help Deep Neural Networks (DNNs) perform much better when training time budget and size of the dataset are limited.

Paper: http://arxiv.org/abs/2301.09264

#AI #CV #NewPaper #DeepLearning #MachineLearning

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"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

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Architecture of the proposed IQ…

"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

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Three qualitative examples from…

"Enactive Artificial Intelligence: Overcoming Male Gaze in Robot-Human Interaction" — The paper characterises AI design as a cultural practice; which is then specified in feminist technoscience principles, i.e. how gender and other embodied identity markers are entangled in AI. From this, the paper derives the conditions for Enactive Artificial Intelligence.

Paper: https://arxiv.org/abs/2301.08741

#AI #NewPaper #Robotics #HumanComputerInteraction

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"Is ChatGPT A Good Translator? A Preliminary Study" — An evaluation of ChatGPT for machine translation, including translation prompt, multilingual translation, and translation robustness.

TL;DR; "ChatGPT performs competitively with commercial translation products (e.g., Google Translate) on high-resource European languages but lags behind significantly on low-resource or distant languages."

Paper: https://arxiv.org/abs/2301.08745

#AI #NewPaper #DeepLearning #MachineLearning #Language

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"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…

"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

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Feature learning of regression …

"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

#AI #CV #NewPaper #DeepLearning #MachineLearning

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This figure contains input imag…