AI & Machine Learning Blog

In the world of business, there is a lot of talk about Industry machine learning. But what is machine learning and how can it benefit your business? In this blog…

Artificial Intelligence and Machine Learning refer to a new field that is concerned with creating software systems capable of learning from data. The field goes beyond computers and includes computer…

Nicolas Audebert,[ONERA, The French Aerospace Lab] Abstract Investigate various methods to deal with semantic labeling of very high resolution multi-modal RS data – especially for semantic labeling Contributions: 1. Multiscale…

by Dmitry Ulyanov,Andrea Vedaldi,Victor Lempitsky – CVPR 2018 Abstract Deep CNN – able to learn image priors from a large number of example images Contribution: Structure of a generator network…

Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel Saltz, Lucas Joppa, Nebojsa Jojic [Microsoft Research, Yale University, Georgia Institute of Technology, Stony Brook University, Chesapeake…

Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele [NUS, MaxPlank] [CVPR2019] Abstract Meta-learning – to address the challenges of the few shot learning settings Key idea – force a large…

by Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schuetz, Carola-Bibiane Schönlieb [University of Cambridge] Abstract Paper proposes a DCNN for multiclass segmentation trainable on coarse data labels combined with a…

Abstract Thermal images are good at predicting objects/people at night, but poor performance in daylight SoA networks use fusion networks with paired thermal and RGB images. Contribution: augment thermal images…