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

NOVEMBER 9, 2023

The health, fashion, and fitness industries are highly interested in the difficult computer vision problem of 3D reconstructing human body parts from pictures. They also make available a sizable collection of artificially photorealistic photos matched with ground truth labels for these kinds of signals to overcome data scarcity.

Data Scarcity 124

Data Scarcity Computer Vision AI AI 124

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

JULY 23, 2023

A current PubMed search using the Mesh keywords “artificial intelligence” and “radiology” yielded 5,369 papers in 2021, more than five times the results found in 2011. Data scarcity and data imbalance are two of these challenges.

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

Viso.ai

DECEMBER 18, 2023

Access to synthetic data is valuable for developing effective artificial intelligence (AI) and machine learning (ML) models. Real-world data often poses significant challenges, including privacy, availability, and bias. To address these challenges, we introduce synthetic data as an ML model training solution.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

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

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

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

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

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

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

Viso.ai

JANUARY 16, 2024

However, the method requires a sufficient volume of labeled training data. This prevents you from applying artificial intelligence (AI) in several real-world industrial use cases, such as healthcare, retail, and manufacturing, where data is scarce. Viso Suite is the end-to-end, No-Code Computer Vision Solution.

Neural Network 52

Neural Network Computer Vision Convolutional Neural Networks Algorithm 52

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. All this will eventually help in boosting up your career growth.

Deep Learning 52

Deep Learning Convolutional Neural Networks Machine Learning Neural Network 52

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 135

Generative AI Prompt Engineer Prompt Engineering AI 135

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

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

Viso.ai

DECEMBER 15, 2023

AI music is revolutionizing the music industry through a wide range of artificial intelligence (AI) applications. These intelligent models have transcended their traditional linguistic boundaries to influence music generation. Music-generative AI changes how we understand, create, and interact with music.

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 101

Large Language Models Data Scarcity LLM Generative AI 101