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Hierarchical Average Precision Training for Pertinent Image Retrieval

5 July 2022

Nicolas Audebert

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Papers citing "Hierarchical Average Precision Training for Pertinent Image Retrieval"

21 / 21 papers shown

Title
Robust and Decomposable Average Precision for Image Retrieval Elias Ramzi Nicolas Thome Clément Rambour Nicolas Audebert Xavier Bitot 91 27 0 01 Oct 2021
Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales Yifan Sun Yuke Zhu Yuhan Zhang Pengkun Zheng Xi Qiu Chi Zhang Yichen Wei 60 17 0 22 Mar 2021
PyTorch Metric Learning Kevin Musgrave Serge J. Belongie Ser-Nam Lim 38 106 0 20 Aug 2020
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval A. Brown Weidi Xie Vicky Kalogeiton Andrew Zisserman 92 164 0 23 Jul 2020
Array Programming with NumPy Charles R. Harris K. Millman S. Walt R. Gommers Pauli Virtanen ... Tyler Reddy Warren Weckesser Hameer Abbasi C. Gohlke T. Oliphant 156 14,986 0 18 Jun 2020
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis Eu Wern Teh Terrance Devries Graham W. Taylor 63 158 0 02 Apr 2020
Hierarchical Image Classification using Entailment Cone Embeddings Ankit Dhall Anastasia Makarova O. Ganea Dario Pavllo Michael Greeff Andreas Krause 37 61 0 02 Apr 2020
Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks Luca Bertinetto Romain Mueller Konstantinos Tertikas Sina Samangooei Nicholas A. Lord OOD 180 137 0 19 Dec 2019
Cross-Batch Memory for Embedding Learning Xun Wang H. Zhang Weilin Huang Matthew R. Scott 129 247 0 14 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 520 42,559 0 03 Dec 2019
Learning with Average Precision: Training Image Retrieval with a Listwise Loss Jérôme Revaud Jon Almazán Rafael Sampaio de Rezende César Roberto de Souza VLM 62 373 0 18 Jun 2019
Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning Xun Wang Xintong Han Weilin Huang Dengke Dong Matthew R. Scott 80 754 0 14 Apr 2019
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking Filip Radenovic Ahmet Iscen Giorgos Tolias Yannis Avrithis Ondřej Chum 52 379 0 29 Mar 2018
CosFace: Large Margin Cosine Loss for Deep Face Recognition Haobo Wang Yitong Wang Zheng Zhou Xing Ji Dihong Gong Jin Zhou Zhifeng Li Wei Liu CVBM MQ 133 2,508 0 29 Jan 2018
Mixed Precision Training Paulius Micikevicius Sharan Narang Jonah Alben G. Diamos Erich Elsen ... Boris Ginsburg Michael Houston Oleksii Kuchaiev Ganesh Venkatesh Hao Wu 159 1,804 0 10 Oct 2017
Sampling Matters in Deep Embedding Learning Chaoxia Wu R. Manmatha Alex Smola Philipp Krahenbuhl 102 923 0 23 Jun 2017
No Fuss Distance Metric Learning using Proxies Yair Movshovitz-Attias Alexander Toshev Thomas Leung Sergey Ioffe Saurabh Singh 89 641 0 21 Mar 2017
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples Filip Radenovic Giorgos Tolias Ondřej Chum SSL 93 599 0 08 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Deep Metric Learning via Lifted Structured Feature Embedding Hyun Oh Song Yu Xiang Stefanie Jegelka Silvio Savarese FedML SSL DML 94 1,643 0 19 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014