Learning with Average Precision: Training Image Retrieval with a
Listwise Loss

Learning with Average Precision: Training Image Retrieval with a Listwise Loss

18 June 2019

Jérôme Revaud

Rafael Sampaio de Rezende

César Roberto de Souza

Papers citing "Learning with Average Precision: Training Image Retrieval with a Listwise Loss"

12 / 62 papers shown

Title
Generalized Contrastive Optimization of Siamese Networks for Place Recognition María Leyva-Vallina N. Strisciuglio N. Petkov 10 31 0 11 Mar 2021
Deep Learning for Instance Retrieval: A Survey Wei Chen Yu Liu Weiping Wang E. Bakker Theodoros Georgiou Paul Fieguth Li Liu M. Lew VLM 11 145 0 27 Jan 2021
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval Frederik Warburg Martin Jørgensen Javier Civera Søren Hauberg UQCV 27 36 0 25 Nov 2020
A New Distributional Ranking Loss With Uncertainty: Illustrated in Relative Depth Estimation Alican Mertan Y. Sahin D. Duff Gözde B. Ünal OOD UQCV 27 10 0 14 Oct 2020
Fast and Incremental Loop Closure Detection with Deep Features and Proximity Graphs Shan An Haogang Zhu Dong Wei Konstantinos A. Tsintotas Antonios Gasteratos 29 42 0 29 Sep 2020
Learning and aggregating deep local descriptors for instance-level recognition Giorgos Tolias Tomás Jenícek Ondvrej Chum FedML 178 100 0 26 Jul 2020
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval A. Brown Weidi Xie Vicky Kalogeiton Andrew Zisserman 47 163 0 23 Jul 2020
VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Change Mubariz Zaffar Sourav Garg Michael Milford Julian F. P. Kooij D. Flynn Klaus McDonald-Maier Shoaib Ehsan 15 137 0 17 May 2020
Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval Tobias Weyand A. Araújo Bingyi Cao Jack Sim 39 362 0 03 Apr 2020
Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval Shuhei Yokoo Kohei Ozaki E. Simo-Serra S. Iizuka 22 31 0 25 Mar 2020
One-Shot Informed Robotic Visual Search in the Wild Karim Koreitem Florian Shkurti Travis Manderson Wei-Di Chang J. A. G. Higuera Gregory Dudek 21 12 0 22 Mar 2020
The Group Loss for Deep Metric Learning Ismail Elezi Sebastiano Vascon Alessandro Torcinovich Marcello Pelillo Laura Leal-Taixe 14 50 0 01 Dec 2019