Viso.ai

DECEMBER 3, 2023

Pose estimation is a fundamental task in computer vision and artificial intelligence (AI) that involves detecting and tracking the position and orientation of human body parts in images or videos. provides the leading end-to-end Computer Vision Platform Viso Suite. Get a demo for your organization.

Deep Learning 98

Deep Learning Computer Vision Neural Network Robotics 98

PyImageSearch

NOVEMBER 13, 2023

For example, image classification, image search engines (also known as content-based image retrieval, or CBIR), simultaneous localization and mapping (SLAM), and image segmentation, to name a few, have all been changed since the latest resurgence in neural networks and deep learning. Object detection is no different. 2015 ; He et al.,

Convolutional Neural Networks 118

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 118

Viso.ai

JUNE 26, 2024

This article will discuss the following: Neuromorphic Engineering and its core principles History and Development Algorithms Used How Neuromorphic Algorithms differ from Traditional Algorithms Real-world examples Applications and Use Cases About Us: At Viso.ai, we power Viso Suite, the most complete end-to-end computer vision platform.

Neural Network 40

Neural Network Algorithm Robotics Computer Vision 40

Marktechpost

DECEMBER 6, 2023

This limits the amount of interaction when utilizing the generation pipeline as a creative tool, usually requiring tens to hundreds of expensive neural network evaluations. on MS-COCO 2014-30k using the same denoiser architecture as Stable Diffusion. DMD obtains a competitive FID of 11.49

Artificial Intelligence 135

Artificial Intelligence Artificial Intelligence Neural Network AI Research 135

Viso.ai

MAY 31, 2024

Pascal VOC is a renowned dataset and benchmark suite that has significantly contributed to the advancement of computer vision research. It provides standardized image data sets for object class recognition and a common set of tools for accessing the data and evaluating the performance of computer vision models.

Computer Vision 52

Computer Vision Convolutional Neural Networks Deep Learning Neural Network 52

Viso.ai

JUNE 19, 2024

AlphaPose is a multi-person pose estimation model that uses computer vision and deep learning techniques to detect and predict human poses from images and videos in real time. About us: Viso Suite provides full-scale features to rapidly build, deploy, and scale enterprise-grade computer vision applications.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 52

Mlearning.ai

MARCH 9, 2023

Fully convolutional networks for semantic segmentation. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. Neural Networks, 64, 59–63. Intriguing properties of neural networks.

Computer Vision 52

Computer Vision Deep Learning Machine Learning Algorithm 52

Viso.ai

JULY 17, 2024

An image can be represented by the relationships between the activations of features detected by a convolutional neural network (CNN). Previous methods directly fed the semantic layout as input to the deep neural network, which then the model processed through stacks of convolution, normalization, and nonlinearity layers.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52

Viso.ai

JULY 9, 2024

StyleGAN is GAN (Generative Adversarial Network), a Deep Learning (DL) model, that has been around for some time, developed by a team of researchers including Ian Goodfellow in 2014. The synthesis network is composed of convolutional layers that progressively refine the image from a low resolution to the final high resolution.

Explainability 52

Explainability Computer Vision Convolutional Neural Networks Neural Network 52

ML Review

JUNE 4, 2018

Recent Intersections Between Computer Vision and Natural Language Processing (Part Two) This is the second instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP).

Neural Network 52

Neural Network Convolutional Neural Networks Computer Vision Deep Learning 52

Mlearning.ai

AUGUST 4, 2023

In this blog, we will try to deep dive into the concept of 1x1 convolution operation which appeared in the paper ‘Network in Network’ by Lin et al in (2013) and ‘Going Deeper with Convolutions’ by Szegedy et al (2014) that proposed the GoogLeNet architecture. 21 million ops) gets reduced by a factor of ~11.

Explainability 52

Explainability Neural Network Deep Learning AI 52

Mlearning.ai

JUNE 16, 2023

The ImageNet dataset, featuring natural images, contains 14,197,122 annotated images organized in 1000 classes and is commonly used as a benchmark for many computer vision models⁸. Practitioners first trained a Convolutional Neural Network (CNN) to perform image classification on ImageNet (i.e. February 23, 2014.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision AI AI 52

Google Research AI blog

JANUARY 18, 2023

I will begin with a discussion of language, computer vision, multi-modal models, and generative machine learning models. Over the next several weeks, we will discuss novel developments in research topics ranging from responsible AI to algorithms and computer systems to science, health and robotics. Let’s get started!

Computer Vision 132

Computer Vision Auto-classification Large Language Models Neural Network 132

Lexalytics

APRIL 5, 2021

This book effectively killed off interest in neural networks at that time, and Rosenblatt, who died shortly thereafter in a boating accident, was unable to defend his ideas. (I Around this time a new graduate student, Geoffrey Hinton, decided that he would study the now discredited field of neural networks.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

PyImageSearch

OCTOBER 2, 2023

However, in the realm of unsupervised learning, generative models like Generative Adversarial Networks (GANs) have gained prominence for their ability to produce synthetic yet realistic images. Before the rise of GANs, there were other foundational neural network architectures for generative modeling. on Lines 6 and 7.

Computer Vision 112

Computer Vision Deep Learning Neural Network Auto-complete 112

John Snow Labs

MAY 23, 2023

Visual question answering (VQA), an area that intersects the fields of Deep Learning, Natural Language Processing (NLP) and Computer Vision (CV) is garnering a lot of interest in research circles. The first VQA dataset was DAQUAR, released in 2014. This is why VQA problems are widely accepted as “AI-complete” or “AI-hard”.

Natural Language Processing 40

Natural Language Processing Deep Learning NLP Convolutional Neural Networks 40

ML Review

MARCH 5, 2019

It, of course, includes the work we have done manually in our previous two survey publications: A Year in Computer Vision and Multi-Modal Methods. Conducting exploratory search is difficult in standard IR systems as terminology might differ even in closely related fields (network analyses vs graph neural networks).

AI Researcher 52

AI Researcher AI Research Neural Network AI 52

ML Review

MAY 3, 2018

Recent Intersections Between Computer Vision and Natural Language Processing (Part One) This is the first instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). Thanks for reading!

Neural Network 52

Neural Network Computer Vision Deep Learning Convolutional Neural Networks 52

Heartbeat

APRIL 18, 2023

It is a challenging task in computer vision, and it has many practical applications, such as video surveillance, human-computer interaction, sports analysis, and medical diagnosis. The VGG model The VGG ( Visual Geometry Group ) model is a deep convolutional neural network architecture for image recognition tasks.

Convolutional Neural Networks 52

Convolutional Neural Networks Deep Learning Neural Network Machine Learning 52

AWS Machine Learning Blog

FEBRUARY 29, 2024

In this post, we investigate of potential for the AWS Graviton3 processor to accelerate neural network training for ThirdAI’s unique CPU-based deep learning engine. He has won numerous paper awards, including Best Paper Awards at NIPS 2014 and MLSys 2022, as well as the Most Reproducible Paper Award at SIGMOD 2019.

Neural Network 127

Neural Network Deep Learning Machine Learning Algorithm 127

Viso.ai

DECEMBER 21, 2023

Over the past decade, the field of computer vision has experienced monumental artificial intelligence (AI) breakthroughs. This blog will introduce you to the computer vision visionaries behind these achievements. Viso Suite is the end-to-End, No-Code Computer Vision Solution.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52

ODSC - Open Data Science

FEBRUARY 29, 2024

The Stanford AI Lab Founded in 1963, the Stanford AI Lab has made significant contributions to various domains, including natural language processing, computer vision, and robotics. One of their notable recent projects is a new interpretability method for training neural networks with sparse, discrete, and controllable hidden states.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI Researcher AI Research 52