In recent years, foundation Vision-Language Models (VLMs), such as CLIP [1], which empower zero-shot transfer to a wide variety of domains without fine-tuning, have led to a significant shift in ...

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VLJ tracks meaning across video, outperforming CLIP in zero-shot tasks, so you get steadier captions and cleaner ...

Imagine a world where your devices not only see but truly understand what they’re looking at—whether it’s reading a document, tracking where someone’s gaze lands, or answering questions about a video.

Imagine pointing your phone's camera at the world, asking it to identify the dark green plant leaves, and asking if it's poisonous for dogs. Likewise, you're working on a computer, pull up the AI, and ...

Vision Transformers, or ViTs, are a groundbreaking learning model designed for tasks in computer vision, particularly image recognition. Unlike CNNs, which use convolutions for image processing, ViTs ...

Family of tunable vision-language models based on Gemma 2 generate long captions for images that describe actions, emotions, and narratives of the scene. Google has introduced a new family of ...

Artificial Intelligence (AI) has undergone remarkable advancements, revolutionizing fields such as general computer vision and natural language processing. These technologies, integral to the broader ...

Cohere For AI, AI startup Cohere’s nonprofit research lab, this week released a multimodal “open” AI model, Aya Vision, the lab claimed is best-in-class. Aya Vision can perform tasks like writing ...