AI News

Machine learning advancements, especially in designing neural networks, have made significant progress thanks to Neural Architecture Search (NAS), a technique that automates the architectural design process. By eliminating the need for manual intervention, NAS not only simplifies a previously tedious process, but also paves the way for the development of more effective and accurate models,…

This paper introduces the VisionLLaMA, a large language model based on transformer architectures, designed to bridge the gap between language and vision modalities. It follows the design of the LLaMA family of models and the Vision Transformer (ViT) pipeline, by segmenting an image into non-overlapping patches and processing them through VisionLLaMA blocks. The blocks include…

Researchers have developed a strategy to improve the comprehension of scientific material by Large Vision-Language Models (LVLMs), a kind of AI that combines language processing and visual perception. These models have shown exceptional proficiency in tasks involving real-world images, mimicking human-like cognition. However, they have been found to struggle with abstract ideas, especially in scientific…

Determining camera poses accurately from sparse images presents a significant challenge for 3D representation. Traditional structure-from-motion methods often struggle in limited view situations. This has led to a shift towards learning-based strategies intended to improve the accuracy of camera pose predictions from sparse image sets. These new approaches are exploring various learning techniques, including regression…