Computer Vision

SEED-Bench-2-Plus: An Extensive Benchmark Specifically Designed for Evaluating Multimodal Large Language Models (MLLMs) in Text-Rich Scenarios

Evaluating Multimodal Large Language Models (MLLMs) in text-rich scenarios is crucial, given their increasing versatility. However, current benchmarks mainly assess general visual comprehension, overlooking...

This AI Paper from Apple Introduces a Weakly-Supervised Pre-Training Method for Vision Models Using Publicly Available Web-Scale Image-Text Data

In recent times, contrastive learning has become a potent strategy for training models to learn efficient visual representations by aligning image and text embeddings....

Mixture of Data Experts (MoDE) Transforms Vision-Language Models: Enhancing Accuracy and Efficiency through Specialized Data Experts in Noisy Environments

The interdisciplinary domain of vision-language representation seeks innovative methods to develop systems to understand the nuanced interactions between text and images. This area is...

SEED-X: A Unified and Versatile Foundation Model that can Model Multi-Granularity Visual Semantics for Comprehension and Generation Tasks

In artificial intelligence, a significant focus has been on developing models that simultaneously process and interpret multiple forms of data. These multimodal models are...

Google AI Proposes MathWriting: Transforming Handwritten Mathematical Expression Recognition with Extensive Human-Written and Synthetic Dataset Integration and Enhanced Model Training

Online text recognition models have advanced significantly in recent years due to enhanced model structures and larger datasets. However, mathematical expression (ME) recognition, a...

Blink: A New Multimodal LLM Benchmark that Evaluates Core Visual Perception Abilities not Found in Existing Evaluations

Earlier, with the adoption of computer vision, its studies weren't content to only scan 2D arrays of flat "patterns." Rather, they sought to understand...

Japanese Heron-Bench: A Novel AI Benchmark for Evaluating Japanese Capabilities of Vision Language Models VLMs

The rapid progression of Large Language Models (LLMs) is a pivotal milestone in the evolution of artificial intelligence. In recent years, we have witnessed...

COCONut: A High-Quality, Large-Scale Dataset for Next-Gen Segmentation Models

Computer vision has advanced significantly in recent decades, thanks in large part to comprehensive benchmark datasets like COCO. However, nearly a decade after its...

Researchers at Microsoft Introduces VASA-1: Transforming Realism in Talking Face Generation with Audio-Driven Innovation

Within multimedia and communication contexts, the human face serves as a dynamic medium capable of expressing emotions and fostering connections. AI-generated talking faces represent...

Navigating the Landscape of CLIP: Investigating Data, Architecture, and Training Strategies

Researchers have recently seen a surge of interest in image-and-language representation learning, aiming to capture the intricate relationship between visual and textual information. Among...

Researchers from UNC-Chapel Hill Introduce CTRL-Adapter: An Efficient and Versatile AI Framework for Adapting Diverse Controls to Any Diffusion Model

In digital media, the need for precise control over image and video generation has led to the development of technologies like ControlNets. These systems...

This AI Paper from Peking University and ByteDance Introduces VAR: Surpassing Diffusion Models in Speed and Efficiency

In the realm of artificial intelligence, the emergence of powerful autoregressive (AR) large language models (LLMs), like the GPT series, has marked a significant...

Galileo Introduces Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High...

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The Galileo Luna represents a significant advancement in language model evaluation. It is specifically designed to address the prevalent issue of hallucinations in large...

Yandex Introduces YaFSDP: An Open-Source AI Tool that Promises to Revolutionize LLM Training by...

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Developing large language models requires substantial investments in time and GPU resources, translating directly into high costs. The larger the model, the more pronounced...

Gretel AI Releases a New Multilingual Synthetic Financial Dataset on HuggingFace 🤗 for AI...

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Detecting personally identifiable information PII in documents involves navigating various regulations, such as the EU’s General Data Protection Regulation (GDPR) and various U.S. financial...

Snowflake AI Research Team Unveils Arctic: An Open-Source Enterprise-Grade Large Language Model (LLM) with...

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Snowflake AI Research has launched the Arctic, a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard...

Google DeepMind Releases RecurrentGemma: One of the Strongest 2B-Parameter Open Language Models Designed for...

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Language models are the backbone of modern artificial intelligence systems, enabling machines to understand and generate human-like text. These models, which process and predict...

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