Visual Place Recognition is the task of identifying a previously visited location from a new image using visual cues alone. In past years, the main approach was image retrieval, which consists of comparing an image's global descriptor—computed by a deep neural network—and finding the most similar images in a database. It is clear that this method has problems of robustness and dimensionality. Indeed, it requires the query images to be not too different from the database images, and as the region to be learned grows, it demands increasing memory and computation time for the search. In recent years, some methods have been developed to overcome these limitations.