Insights and Trends in Machine Learning for Computer Vision

Insights and Trends in Machine Learning for Computer Vision Back to Blog We are delighted to share the presentation “Insights and Trends of Machine Learning for Computer Vision” recently given, at different conferences, by our head of machine learning Bram-Ernst Verhoef and our Algorithm and Quantisation researcher Martino Dazzi Learn all about it in their […]

Multilayer perceptrons (MLP) in Computer Vision

Back to Blog Multilayer Perceptrons (MLP) in Computer Vision by Bram Verhoef – Algorithm Architect at AXELERA AI Summary – Convolutional neural networks (CNNs) still dominate today’s computer vision. Recently, however, networks based on transformer blocks have also been applied to typical computer vision tasks such as object classification, detection, and segmentation, attaining state-of-the-art results on standard benchmark datasets. However, […]

Transformers in Computer Vision

Back to Blog Transformers in Computer Vision by Bert Moons –  System Architect at AXELERA AI Summary: Convolutional Neural Networks (CNN) have been dominant in Computer Vision applications for over a decade. Today, they are being outperformed and replaced by Vision Transformers (ViT) with a higher learning capacity. The fastest ViTs are essentially a CNN/Transformer hybrid, combining the best […]