Deep Learning

Explore Pascal VOC, a benchmark in object detection tasks, its dataset evolution, key tasks, methodologies, and its role in advancing computer vision.

We explore the groundbreaking research that has shaped the field of computer vision with our list of the top papers of all time.

Explore the mechanics of Spatial Transformer Networks, their integration with Convolutional Neural Networks (CNNs), and real-world applications through insightful case studies.

Learn about Meta’s groundbreaking Segment Anything Model (SAM). From its technical specs to its versatile applications, see how it's revolutionizing computer vision.

CLIP is a method that learns from natural language and images using contrastive learning. Learn its applications and future advancements.

Explore the Definition and Scope of Promptable Object Detection (POD) and discover how POD integrates natural language prompts with object detection systems, transforming traditional frameworks.

There are many options out there for solving enterprise challenges with AI solutions, begging the questions, why Intel? Why Viso Suite?

OMG-Seg introduces a singular CV model for various segmentation tasks. Understand its working and performance against other SOTA models.

A complete guide to Natural Language Processing (NLP). How computers can understand text and voice data. Powerful applications and use cases.

We discuss the top AI influencers shaping the future of computer vision. From Andrew Ng to Yann LeCun, discover the minds driving innovation.

Prompt engineering is a vital part of generative AI. Learn about the various prompt engineering techniques and their benefits.

Explore Foundation Models in AI. Discover practical use cases and applications across language models, vision models and multimodal models.