Browsing: AI News
Deep learning systems must be highly integrated and have access to vast amounts of computational resources to function properly. Consequently, building massive data centers with hundreds…
The research on vision-language models (VLMs) has gained significant momentum, driven by their potential to revolutionize various applications, including visual assistance for visually impaired individuals. However,…
Text-to-3D generation is an innovative field that creates three-dimensional content from textual descriptions. This technology is crucial in various industries, such as video games, augmented reality…
At the moment, many subfields of computer vision are dominated by large-scale vision models. Newly developed state-of-the-art models for tasks such as semantic segmentation, object detection,…
Multi-modal Large Language Models (MLLMs) have various applications in visual tasks. MLLMs rely on the visual features extracted from an image to understand its content. When…
In recent years, the field of artificial intelligence has witnessed significant advancements in image generation and enhancement techniques, as exemplified by models like Stable Diffusion, Dall-E,…
Deep learning models like Convolutional Neural Networks (CNNs) and Vision Transformers achieved great success in many visual tasks, such as image classification, object detection, and semantic…
Humans are versatile; they can quickly apply what they’ve learned from little examples to larger contexts by combining new and old information. Not only can they…
The field of research focuses on enhancing large multimodal models (LMMs) to process and understand extremely long video sequences. Video sequences offer valuable temporal information, but…
Multimodal large language models (MLLMs) have become prominent in artificial intelligence (AI) research. They integrate sensory inputs like vision and language to create more comprehensive systems.…