Browsing: AI News
Large Language Models (LMMs) are developing significantly and proving to be capable of handling more complicated jobs that call for a blend of different integrated skills.…
Large-scale multimodal foundation models have achieved notable success in understanding complex visual patterns and natural language, generating interest in their application to medical vision-language tasks. Progress…
Visual representation learning using large models and self-supervised techniques has shown remarkable success in various visual tasks. However, deploying these models in real-world applications is challenging…
As AI models become more integrated into clinical practice, assessing their performance and potential biases towards different demographic groups is crucial. Deep learning has achieved remarkable…
Meet OWLSAM2: a groundbreaking project that combines the cutting-edge zero-shot object detection capabilities of OWLv2 with the state-of-the-art mask generation prowess of SAM2 (Segment Anything Model…
Meta’s Segment Anything Model 2 (SAM 2) has taken the AI community by storm thanks to its groundbreaking capabilities in real-time,…
Medical image segmentation plays a role in modern healthcare, focusing on precisely identifying and delineating anatomical structures within medical scans. This process is fundamental for accurate…
Recent advancements in video generation have been driven by large models trained on extensive datasets, employing techniques like adding layers to existing models and joint training.…
Visual understanding is the abstracting of high-dimensional visual signals like images and videos. Many problems are involved in this process, ranging from depth prediction and vision-language…
Generative models, particularly GANs, have demonstrated the ability to encode meaningful visual concepts linearly within their latent space, allowing for controlled image edits, such as altering…