Self supervision and natural language supervision have emerged as two exciting ways to train general purpose image encoders which excel at a variety of downstream tasks. Recent works such as M3AE [31] and SLIP [64] have suggested that these approaches can be effectively combined, but… Read More »Self Supervision Does Not Help Natural Language Supervision at Scale Apple Machine Learning Research
It’s that time of the year again when all eyes will turn to the Dolby Theatre in Hollywood for the Continue reading It’s that time of the year again when all eyes will turn to the Dolby Theatre in Hollywood for theContinue reading Read More Fun, Fusions,… Read More »Predicting the 2023 Oscar Winners with Machine Learning atakancetinsoy The Official Blog of BigML.com
We’ve all heard of the possibilities of artificial intelligence, machine learning, and deep learning. There have been many situations where artificial intelligence has made a measurable impact on an organization, and there have also been situations where organizations have wasted millions of dollars on… Read More »Artificial Intelligence vs Machine Learning vs Deep Learning Narender Kumar Spark By {Examples}
Generative adversarial networks (GANs), trained on a large-scale image dataset, can be a good approximator of the natural image manifold. GAN-inversion, using a pre-trained generator as a deep generative prior, is a promising tool for image restoration under corruptions. However, the performance of GAN-inversion can… Read More »RGI: Robust GAN-inversion for Mask-free Image Inpainting and Unsupervised Pixel-wise Anomaly Detection Apple Machine Learning Research
Unsupervised pixel-level defective region segmentation is an important task in image-based anomaly detection for various industrial applications. The state-of-the-art methods have their own advantages and limitations: matrix-decomposition-based methods are robust to noise but lack complex background image modeling capability; representation-based methods are good at defective… Read More »PAEDID: Patch Autoencoder-based Deep Image Decomposition for Unsupervised Anomaly Detection Apple Machine Learning Research
The $ifNull operator in MongoDB is used to check if a specified expression is null and returns either the specified expression or a default value. Also, this operator can be very useful when we want to handle null values in MongoDB queries. Here, we… Read More »Using $ifNull Operator in MongoDB AQSA Spark By {Examples}
The performance accuracy of models employed in various speech translation tasks has greatly increased due to recent scientific advances. Although these models perform better than ever, they are still far from perfect. One of the primary reasons for this shortcoming is background noise. Different… Read More »Meta AI Releases MuAViC: A New Benchmark For Audio-Visual Learning For Robust Speech Translation Khushboo Gupta Artificial Intelligence Category – MarkTechPost
Recent years have seen remarkable advances in developing large language models (LLMs), including T5, BLOOM, and GPT-3. ChatGPT, based on InstructGPT, is a major advancement because it is taught to hold on to conversational context, respond appropriately to follow-up inquiries, and generate accurate responses.… Read More »Microsoft Research Introduces Visual ChatGPT That Incorporates Different Visual Foundation Models Enabling Users To Interact With ChatGPT Tanushree Shenwai Artificial Intelligence Category – MarkTechPost
In this paper, researchers from OpenAI, who are behind state-of-the-art work on diffusion models, propose “consistency models.” Inspired by diffusion models, they allow for the generation of realistic samples in a single forward pass. Diffusion models have made spectacular breakthroughs in recent years, surpassing… Read More »Open AI Proposes Consistency Models: A New Family of Generative Models That Achieve High Sample Quality Without Adversarial Training Simon Benaïchouche Artificial Intelligence Category – MarkTechPost
Random Face Generator creates random faces using cutting-edge image processing methods. Big data techniques may make random faces that seem genuine but are not truly present in the real world. These faces are certain to feature genuine facial details, matching gender, age, and emotions.… Read More »Top AI Random Face Generator Apps (2023) Prathamesh Ingle Artificial Intelligence Category – MarkTechPost