Skip to content Feature Detection, Part 1: Image Derivatives, Gradients, and Sobel Operator
Computer vision is a vast area for analyzing images and videos. While many people tend to think mostly about machine ...
Read more MobileNetV2 Paper Walkthrough: The Smarter Tiny Giant
Introduction was a breakthrough in the field of computer vision as it proved that deep learning models do not necessarily ...
Read more FastSAM for Image Segmentation Tasks — Explained Simply
segmentation is a popular task in computer vision, with the goal of partitioning an input image into multiple regions, where ...
Read more From Rules to Relationships: How Machines Are Learning to Understand Each Other
Communication systems have evolved from simple bit transmission to intelligent information sharing. Traditional systems focus on moving raw data from ...
Read more Scene Understanding in Action: Real-World Validation of Multimodal AI Integration
of this series on multimodal AI systems, we’ve moved from a broad overview into the technical details that drive the ...
Read more Grad-CAM from Scratch with PyTorch Hooks
car stops suddenly. Worryingly, there is no stop sign in sight. The engineers can only make guesses as to why ...
Read more On-Device Machine Learning in Spatial Computing
The landscape of computing is undergoing a profound transformation with the emergence of spatial computing platforms(VR and AR). As we ...
Read more Roadmap to Becoming a Data Scientist, Part 4: Advanced Machine Learning
Introduction Data science is undoubtedly one of the most fascinating fields today. Following significant breakthroughs in machine learning about a decade ...
Read more Show and Tell | Towards Data Science
Introduction Natural Language Processing and Computer Vision used to be two completely different fields. Well, at least back when I ...
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