Faster R-CNN: A Beginner’s to Advanced Guide (2024)
Explore the concepts of Faster R-CNN in this guide covering its development, training, community projects, challenges, & future advancements.
DensePose: Facebook’s Breakthrough in Human Pose Estimation
Discover how DensePose maps simple photos to 3D human models, providing more detailed pose estimations. Explore its architecture and beyond.
Microsoft’s Florence-2: The Ultimate Unified Model
Explore Microsoft’s Florence-2 model, a unified framework for computer vision tasks. Discover its architecture, applications, and AI impact.
Exploring Sequence Models: From RNNs to Transformers
Sequence Models are Deep Learning architectures that process sequential data. They are used in text generation, sentiment analysis & more.
viso.ai x Intel: Pushing Computer Vision Forward at the Edge
viso.ai x Intel have partnered to deliver state-of-the-art enterprise computer vision solutions that are dramatically faster and more secure.
Smart Homes: A Technical Guide to AI Integrations
Dive into AI-powered smart homes. This technical guide reveals how machine learning, computer vision, and IoT are reshaping our lives.
Squeeze and Excite Networks: A Performance Upgrade
Squeeze and Excite Networks perform channel-wise recalibration that achieves an increase in performance with minimal computation.
Large Language Models – Technical Overview
Large language models are advanced AI systems that generate human-like text by predicting and composing words based on vast amounts of data.
The Magic of AI Art: Understanding Neural Style Transfer
Neural Style Transfer networks blend artistic styles with images. Learn the technology and its applications in art and design.
