Browsing: AI News
In the realm of 3D generative AI, the boundaries between 3D generation and 3D reconstruction from a small number of views have started to blur. This…
In the realm of artificial intelligence, bridging the gap between vision and language has been a formidable challenge. Yet, it harbors immense potential to revolutionize how…
The pursuit of generating lifelike images, videos, and sounds through artificial intelligence (AI) has recently taken a significant leap forward. However, these advancements have predominantly focused…
The rapid development of (MLLMs) has been noteworthy, particularly those integrating language and vision modalities (LVMs). Their advancement is attributed to high accuracy, generalization capability, reasoning…
The field of computer vision has traditionally focused on recognizing objectively agreed-upon concepts such as animals, vehicles, or specific objects. However, many practical, real-world applications require…
Recent advancements in large vision-language models (VLMs) have shown promise in addressing multimodal tasks by combining the reasoning capabilities of large language models (LLMs) with visual…
Computer vision researchers often focus on training powerful encoder networks for self-supervised learning (SSL) methods. These encoders generate image representations, but researchers frequently ignore the predictive…
In artificial intelligence, the synergy between visual and textual data plays a pivotal role in evolving models capable of understanding and generating content that bridges the…
Deep Neural Networks (DNNs) excel in enhancing surgical precision through semantic segmentation and accurately identifying robotic instruments and tissues. However, they face catastrophic forgetting and a…
Advancements in machine learning, specifically in designing neural networks, have made significant strides thanks to Neural Architecture Search (NAS). This technique, which automates the architectural design…