1 code implementation • 17 Jun 2021 • Matthijs Douze, Giorgos Tolias, Ed Pizzi, Zoë Papakipos, Lowik Chanussot, Filip Radenovic, Tomas Jenicek, Maxim Maximov, Laura Leal-Taixé, Ismail Elezi, Ondřej Chum, Cristian Canton Ferrer
The goal is to determine whether a query image is a modified copy of any image in a reference corpus of size 1~million.
Ranked #1 on Image Similarity Detection on DISC21 dev
We study the problem of learning how to predict attribute-object compositions from images, and its generalization to unseen compositions missing from the training data.
Query expansion is a technique widely used in image search consisting in combining highly ranked images from an original query into an expanded query that is then reissued, generally leading to increased recall and precision.
We show successful attacks to partially unknown systems, by designing various loss functions for the adversarial image construction.
We introduce a novel loss for learning local feature descriptors which is inspired by the Lowe's matching criterion for SIFT.
This work addresses the problem of camera elevation estimation from a single photograph in an outdoor environment.
We present an algorithm that leverages the appearance variety to obtain more complete and accurate scene geometry along with consistent multi-illumination appearance information.
Structure-from-Motion for unordered image collections has significantly advanced in scale over the last decade.
This paper addresses the construction of a short-vector (128D) image representation for large-scale image and particular object retrieval.