Browsing: AI News
Visual Simultaneous Localization and Mapping (SLAM) is a critical technology in robotics and computer vision that allows real-time state estimation for various applications. SLAM has become…
A key goal in the development of AI is the creation of general-purpose assistants utilizing Large Multimodal Models (LMMs). Building AI systems that can work in…
RGB-D cameras have a difficult time accurately capturing the depth of transparent objects because of the optical effects of reflection and refraction. Because of this, the…
Multimodal generative models represent an exciting frontier in artificial intelligence, focusing on integrating visual and textual data to create systems capable of various tasks. These tasks…
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,…