An ever increasing part of communication between persons involve the use of pictures, due
to the cheap availability of powerful cameras on smartphones, and the cheap availability of …

Image retrieval is the problem of searching an image database for items that are similar to a
query image. To address this task, two main types of image representations have been …

Image retrieval can be formulated as a ranking problem where the goal is to order database
images by decreasing similarity to the query. Recent deep models for image retrieval have …

In recent years visual place recognition (VPR), ie, the problem of recognizing the location of
images, has received considerable attention from multiple research communities, spanning …

We propose a novel approach for instance-level image retrieval. It produces a global and
compact fixed-length representation for each image by aggregating many region-wise …

While deep learning has become a key ingredient in the top performing methods for many
computer vision tasks, it has failed so far to bring similar improvements to instance-level …

We tackle the problem of large scale visual place recognition, where the task is to quickly
and accurately recognize the location of a given query photograph. We present the following …

Geometric verification is considered a de facto solution for the re-ranking task in image
retrieval. In this study, we propose a novel image retrieval re-ranking network named …

It has been shown that the activations invoked by an image within the top layers of a large
convolutional neural network provide a high-level descriptor of the visual content of the …

Deep convolutional neural networks (CNN) have shown their promise as a universal
representation for recognition. However, global CNN activations lack geometric invariance …