Marktechpost

MARCH 16, 2024

Recent advancements in high-quality image generators have sparked interest in using generative models for synthetic data generation. This trend impacts various computer vision tasks, including semantic segmentation, human motion understanding, and image classification. The researchers from Google DeepMind have proposed Synth2.

Data Scarcity 103

Data Scarcity Computer Vision ML Artificial Intelligence 103

Marktechpost

MAY 8, 2024

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

Deep Learning 120

Deep Learning Neural Network Data Scarcity Natural Language Processing 120

Marktechpost

MARCH 1, 2024

However, the scarcity and limited annotation of 3D data present significant challenges for the development and impact of 3D pretraining. One straightforward solution to address the data scarcity issue is to merge multiple existing 3D datasets and employ the combined data for universal 3D backbone pretraining.

Data Scarcity 107

Data Scarcity Natural Language Processing Deep Learning Artificial Intelligence 107

Marktechpost

JULY 23, 2023

Data scarcity and data imbalance are two of these challenges. Despite the growing interest in developing ML models for medical imaging, significant challenges can limit such models’ practical applications or even predispose them to substantial bias.

Machine Learning 98

Machine Learning Data Scarcity Algorithm AI Researcher 98

Marktechpost

SEPTEMBER 2, 2023

They optimize the LVLM using synthesized anomalous visual-textual data and incorporating IAD expertise. Direct training using IAD data, however, needs to be improved. Data scarcity is the first. With just a few normal samples, AnomalyGPT can also learn in context, allowing for quick adjustment to new objects.

Data Scarcity 120

Data Scarcity Large Language Models Natural Language Processing LLM 120

Marktechpost

MARCH 11, 2024

The developed CAT-SD scheme effectively mitigates catastrophic forgetting, addresses data scarcity, and ensures privacy in medical datasets. In conclusion, this study introduces a novel privacy-preserving synthetic continual semantic segmentation approach for robotic instrument segmentation.

Neural Network 105

Neural Network Continuous Learning Robotics Data Scarcity 105

Marktechpost

JANUARY 15, 2025

Conclusion Tarsier2 marks a significant step forward in video understanding by addressing key challenges such as temporal alignment, hallucination reduction, and data scarcity.

Data Scarcity 82

Data Scarcity Large Language Models AI Researcher AI Research 82

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 110

Large Language Models Natural Language Processing Machine Learning AI Researcher 110

Pickl AI

OCTOBER 21, 2024

By leveraging auxiliary information such as semantic attributes, ZSL enhances scalability, reduces data dependency, and improves generalisation. This innovative approach is transforming applications in computer vision, Natural Language Processing, healthcare, and more.

Natural Language Processing 52

Natural Language Processing Data Scarcity Computer Vision Machine Learning 52

Viso.ai

JANUARY 2, 2024

In the following, we will explore Convolutional Neural Networks (CNNs), a key element in computer vision and image processing. Viso Suite enables the use of neural networks for computer vision with no code. Le propose architectures that balance accuracy and computational efficiency. Learn more and request a demo.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Data Scarcity 52

Marktechpost

JULY 29, 2023

Overall, the paper presents a significant contribution to the field by addressing the challenge of data scarcity for certain classes and enhancing the performance of CLIP fine-tuning methods using synthesized data. Check out the Paper. All Credit For This Research Goes To the Researchers on This Project.

AI Researcher 98

AI Researcher AI Research Generative AI Data Scarcity 98

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 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

Marktechpost

DECEMBER 15, 2024

The SRDF approach addresses the long-standing challenge of data scarcity in VLN by automating dataset refinement. The researchers also reported enhanced instruction diversity and richness, with over 10,000 unique words incorporated into the SRDF-generated dataset, addressing the vocabulary limitations of previous datasets.

Data Scarcity 79

Data Scarcity Data Quality Automation AI 79

deepsense.ai

FEBRUARY 6, 2024

SegGPT Many successful approaches from NLP are now being translated into computer vision. For instance, the analogy of the masked token prediction task used to train BERT is known as masked image modeling in computer vision. Finally, the resulting segmentation, along with additional classification information.

Prompt Engineer 105

Prompt Engineer Prompt Engineering NLP Computer Vision 105

Marktechpost

NOVEMBER 5, 2024

The SFM method marks a meaningful advancement in atmospheric science, setting a new benchmark in model accuracy for high-resolution weather data, especially when conventional models face limitations due to data scarcity and resolution misalignment. Check out the Paper.

Data Scarcity 79

Data Scarcity Machine Learning AI AI 79

AWS Machine Learning Blog

FEBRUARY 12, 2025

Although fine-tuning with a large amount of high-quality original data remains the ideal approach, our findings highlight the promising potential of synthetic data generation as a viable solution when dealing with data scarcity. Yiyue holds a Ph.D.

LLM 74

LLM Generative AI Deep Learning Data Scarcity 74

Viso.ai

JANUARY 16, 2024

provides a robust end-to-end no-code computer vision solution – Viso Suite. Our software helps several leading organizations start with computer vision and implement deep learning models efficiently with minimal overhead for various downstream tasks. Viso Suite is the end-to-end, No-Code Computer Vision Solution.

Neural Network 52

Neural Network Computer Vision Convolutional Neural Networks Algorithm 52

Marktechpost

SEPTEMBER 28, 2024

This allows the framework to overcome data scarcity and perform better on mammography tasks. It also uses a symmetric local alignment module to focus on detailed features and a parameter-efficient fine-tuning approach to enhance pre-trained LLMs with medical knowledge.

Data Scarcity 56

Data Scarcity LLM ML Computer Vision 56

AWS Machine Learning Blog

MARCH 14, 2024

Dealing with limited target data – In some cases, there is limited real-world data available for the target task. Model customization uses the pre-trained weights learned on larger datasets to overcome this data scarcity. He focuses on AI/ML technologies with a keen interest in Generative AI and Computer Vision.

Generative AI 129

Generative AI Prompt Engineer Prompt Engineering AI 129

Pickl AI

FEBRUARY 1, 2023

Thus it reduces the amount of data and computational need. Transfer Learning has various applications like computer vision, NLP, recommendation systems, and robotics. This technology allows models to be fine-tuned using a limited amount of data.

Deep Learning 52

Deep Learning Convolutional Neural Networks Machine Learning Neural Network 52

deepsense.ai

FEBRUARY 12, 2024

SegGPT Many successful approaches from NLP are now being translated into computer vision. For instance, the analogy of the masked token prediction task used to train BERT is known as masked image modeling in computer vision. Finally, the resulting segmentation, along with additional classification information.

Prompt Engineer 52

Prompt Engineer Prompt Engineering NLP Computer Vision 52

Pickl AI

SEPTEMBER 15, 2024

This design enables efficient learning from minimal data, making it ideal for tasks like facial recognition and signature verification, where data scarcity is a challenge. These inputs can be images, text, or other data forms depending on the task. Input Layers Each network in the Siamese structure takes a pair of inputs.

Neural Network 52

Neural Network Deep Learning Convolutional Neural Networks Data Scarcity 52

Viso.ai

DECEMBER 15, 2023

It addresses issues in traditional end-to-end models, like data scarcity and lack of melody control, by separating lyric-to-template and template-to-melody processes. This approach enables high-quality, controllable melody generation with minimal lyric-melody paired data.

Computer Vision 52

Computer Vision Deep Learning AI AI 52

AWS Machine Learning Blog

DECEMBER 18, 2024

Overcoming data scarcity with translation and synthetic data generation When fine-tuning a custom version of the Mistral 7B LLM for the Italian language, Fastweb faced a major obstacle: high-quality Italian datasets were extremely limited or unavailable. In his free time, Giuseppe enjoys playing football.

Large Language Models 96

Large Language Models Data Scarcity LLM Generative AI 96