"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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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This figure contains input imag…

"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…

"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…

"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…

A total of 105 papers in the cs.CV category on arXiv.org today — 76 new, 29 updated.

Double the number as yesterday and so double the fun? 😛

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I talked yesterday about trying to decide whether we should give up on our 1000+ day streak on DuoLingo because stories were no longer fun (and DuoLingo seemed to be actually discouraging you from doing stories only ....)

We talked it over and decided that we weren't going to stick with it just for the sake of maintaining a streak 😛 So yesterday we switched over to reading comics in French and Spanish (on alternate days). It feels a lot more fun and I'm looking forward to today's reading ...

#DuoLingo #Language #Learning #Comics

At this point, “The Last of Us” is the TV show I anticipate the most. Maybe that’s not saying much, but still … 😛

Without spoiling anything, I love how they’ve portrayed zombies and want to learn more about the world with each episode.

We are huge fans of Naughty Dog games given that we played through all of the “Uncharted” games and “The Lost Legacy” too as fast as we could … and loved the story of “Uncharted 4” to bits.

But I didn’t know if we’d like “The Last of Us” since we kind of shy away from killing games and based on the premise, that’s what it sounded like … Now, after starting the TV show, I’m wondering if we should go back and play the game too … Also, there’s apparently a remake and so maybe it really is time to try it?

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Ugh, looks as if there’s a bug in my Mastonaut fork and instead of replying to multiple posts, I’ve been editing one post of mine … I hate bugs like that .. Now I don’t even know where to begin unraveling the mess I’ve created for myself 😕

I don’t have much of a network on here, but hi, hello, I’m an experienced front-end web developer and web accessibility specialist located in the US and I am looking for remote work!

I’ve extensively used React, am familiar with Vue and a handful of other front-end frameworks, and can learn just about any front-end stack. My happy place is building things that make the web easier for users.