Computer Vision, Data Scarcity and Deep Learning

Deep Learning Techniques for Autonomous Driving: An Overview

Marktechpost

MAY 8, 2024

Over the past decade, advancements in deep learning and artificial intelligence have driven significant strides in self-driving vehicle technology. These technologies have revolutionized computer vision, robotics, and natural language processing and played a pivotal role in the autonomous driving revolution.

Deep Learning

Deep Learning Neural Network Data Scarcity Natural Language Processing

Computer Vision in Robotics – An Autonomous Revolution

Viso.ai

FEBRUARY 11, 2024

One of the computer vision applications we are most excited about is the field of robotics. By marrying the disciplines of computer vision, natural language processing, mechanics, and physics, we are bound to see a frameshift change in the way we interact with, and are assisted by robot technology.

Computer Vision

Computer Vision Robotics Natural Language Processing Data Scarcity

Computer Vision in Robotics – An Autonomous Revolution

Viso.ai

FEBRUARY 11, 2024

One of the computer vision applications we are most excited about is the field of robotics. By marrying the disciplines of computer vision, natural language processing, mechanics, and physics, we are bound to see a frameshift change in the way we interact with, and are assisted by robot technology.

Computer Vision

Computer Vision Robotics Natural Language Processing Data Scarcity

Computer Vision Tasks (Comprehensive 2024 Guide)

Viso.ai

DECEMBER 6, 2023

Computer vision (CV) is a rapidly evolving area in artificial intelligence (AI), allowing machines to process complex real-world visual data in different domains like healthcare, transportation, agriculture, and manufacturing. Future trends and challenges Viso Suite is an end-to-end computer vision platform.

Computer Vision

Computer Vision Convolutional Neural Networks Neural Network Categorization

Meet Swin3D++: An Enhanced AI Architecture based on Swin3D for Efficient Pretraining on Multi-Source 3D Point Clouds

Marktechpost

MARCH 1, 2024

Point clouds serve as a prevalent representation of 3D data, with the extraction of point-wise features being crucial for various tasks related to 3D understanding. However, the scarcity and limited annotation of 3D data present significant challenges for the development and impact of 3D pretraining.

Data Scarcity

Data Scarcity Natural Language Processing Deep Learning Artificial Intelligence

What is Transfer Learning in Deep Learning? [Examples & Application]

Pickl AI

FEBRUARY 1, 2023

Transfer Learning in Deep Learning: A Brief Overview Collecting large volumes of data, filtering it and then interpreting is a challenging task. What if we say that you have the option of using a pre-trained model that works as a framework for data training? Yes, Transfer Learning is the answer to it.

Deep Learning

Deep Learning Convolutional Neural Networks Neural Network Machine Learning

Siamese Neural Network in Deep Learning: Features and Architecture

Pickl AI

SEPTEMBER 15, 2024

They are effective in face recognition, image similarity, and one-shot learning but face challenges like high computational costs and data imbalance. Introduction Neural networks form the backbone of Deep Learning , allowing machines to learn from data by mimicking the human brain’s structure.

Neural Network

Neural Network Deep Learning Convolutional Neural Networks Data Scarcity

AI Researchers At Mayo Clinic Introduce A Machine Learning-Based Method For Leveraging Diffusion Models To Construct A Multitask Brain Tumor Inpainting Algorithm

Marktechpost

JULY 23, 2023

Data scarcity and data imbalance are two of these challenges. Using insufficiently large or imbalanced datasets to train or evaluate a machine learning model may result in systemic biases in model performance. Still, their synthetic results lack the image quality of GANs.

Machine Learning

Machine Learning Data Scarcity Algorithm AI Research

Achieving accurate image segmentation with limited data: strategies and techniques

deepsense.ai

FEBRUARY 6, 2024

Harnessing the power of deep learning for image segmentation is revolutionizing numerous industries, but often encounters a significant obstacle – the limited availability of training data. Over the years, various successful deep learning architectures have been developed for this task, such as U-Net or SegFormer.

Prompt Engineer

Prompt Engineer Prompt Engineering NLP Computer Vision

Award-Winning Breakthroughs at NeurIPS 2023: A Focus on Language Model Innovations

Topbots

DECEMBER 19, 2023

A key finding is that for a fixed compute budget, training with up to four epochs of repeated data shows negligible differences in loss compared to training with unique data. However, beyond four epochs, the additional computational investment yields diminishing returns.

Large Language Models

Large Language Models Natural Language Processing AI Researcher AI Research

Convolutional Neural Networks: A Deep Dive (2024)

Viso.ai

JANUARY 2, 2024

In the following, we will explore Convolutional Neural Networks (CNNs), a key element in computer vision and image processing. Our products provide capabilities to train deep neural network models and use them in a no-code environment. Learn more and request a demo.

Convolutional Neural Networks

Convolutional Neural Networks Neural Network Computer Vision Data Scarcity

Synthetic Data: A Model Training Solution

Viso.ai

DECEMBER 18, 2023

In this article, we’ll discuss the following: What is synthetic data? Organizations can easily source data to promote the development, deployment, and scaling of their computer vision applications. Viso Suite is the End-to-End, No-Code Computer Vision Platform – Learn more What is Synthetic Data?

Computer Vision

Computer Vision Neural Network Auto-complete Data Scarcity

N-Shot Learning: Zero Shot vs. Single Shot vs. Two Shot vs. Few Shot

Viso.ai

JANUARY 16, 2024

In this article, we will discuss Types of N-shot learning paradigms Different frameworks and approaches Applications Challenges, and Future Research About us: Viso.ai provides a robust end-to-end no-code computer vision solution – Viso Suite. Viso Suite is the end-to-end, No-Code Computer Vision Solution.

Neural Network

Neural Network Computer Vision Convolutional Neural Networks Algorithm

AI for Music Generation (Overview)

Viso.ai

DECEMBER 15, 2023

Muzic is a “research project on AI music that empowers music understanding and generation with deep learning and artificial intelligence.” Muzic’s multifaceted approach aims to combine AI’s computational power with the artistry of music. Microsoft launched the project in 2019 in Asia.

Computer Vision

Computer Vision Deep Learning AI AI

Artificial Intelligence Zone

Deep Learning Techniques for Autonomous Driving: An Overview

Computer Vision in Robotics – An Autonomous Revolution

Trending Sources

Computer Vision in Robotics – An Autonomous Revolution

Computer Vision Tasks (Comprehensive 2024 Guide)

Meet Swin3D++: An Enhanced AI Architecture based on Swin3D for Efficient Pretraining on Multi-Source 3D Point Clouds

What is Transfer Learning in Deep Learning? [Examples & Application]

Siamese Neural Network in Deep Learning: Features and Architecture

AI Researchers At Mayo Clinic Introduce A Machine Learning-Based Method For Leveraging Diffusion Models To Construct A Multitask Brain Tumor Inpainting Algorithm

Achieving accurate image segmentation with limited data: strategies and techniques

Award-Winning Breakthroughs at NeurIPS 2023: A Focus on Language Model Innovations

Convolutional Neural Networks: A Deep Dive (2024)

Synthetic Data: A Model Training Solution

N-Shot Learning: Zero Shot vs. Single Shot vs. Two Shot vs. Few Shot

AI for Music Generation (Overview)

Stay Connected