In this post we explain the basics behind our paper “Leveraging EfficientNet and Contrastive Learning for Accurate Global-scale Location Estimation” that has been accepted for publication at this year’s International Conference on Multimedia Retrieval (ICMR 2021).
The problem that we tackle in this work is the following: “Given an input image from anywhere in the world, estimate the coordinates of its geographic location, in terms of latitude and longitude, based solely on the visual information of the image.