Robust and Decomposable Average Precision for Image Retrieval

1 October 2021

Nicolas Audebert

Papers citing "Robust and Decomposable Average Precision for Image Retrieval"

35 / 35 papers shown

Title
Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection Zhipeng Yu Qianqian Xu Yangbangyan Jiang Yingfei Sun Qingming Huang NoLa 118 0 0 19 Jan 2025
Training Vision Transformers for Image Retrieval Alaaeldin El-Nouby Natalia Neverova Ivan Laptev Hervé Jégou ViT 121 159 0 10 Feb 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 384 6,768 0 23 Dec 2020
Deep Metric Learning with Spherical Embedding Dingyi Zhang Yingming Li Zhongfei Zhang DML 60 41 0 05 Nov 2020
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies Yuehua Zhu Muli Yang Cheng Deng Wei Liu 69 56 0 26 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 651 41,103 0 22 Oct 2020
Hard negative examples are hard, but useful Hong Xuan Abby Stylianou Xiaotong Liu Robert Pless DML 82 127 0 24 Jul 2020
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval A. Brown Weidi Xie Vicky Kalogeiton Andrew Zisserman 82 164 0 23 Jul 2020
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis Eu Wern Teh Terrance Devries Graham W. Taylor 63 158 0 02 Apr 2020
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses Malik Boudiaf Jérôme Rony Imtiaz Masud Ziko Eric Granger M. Pedersoli Pablo Piantanida Ismail Ben Ayed SSL 77 159 0 19 Mar 2020
A Metric Learning Reality Check Kevin Musgrave Serge J. Belongie Ser-Nam Lim 134 477 0 18 Mar 2020
Cross-Batch Memory for Embedding Learning Xun Wang H. Zhang Weilin Huang Matthew R. Scott 117 247 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 496 42,449 0 03 Dec 2019
MIC: Mining Interclass Characteristics for Improved Metric Learning Karsten Roth Biagio Brattoli Bjorn Ommer 55 89 0 25 Sep 2019
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Pierre Jacob David Picard A. Histace Edouard Klein DML 61 59 0 07 Aug 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 77 750 0 14 Apr 2019
SoDeep: a Sorting Deep net to learn ranking loss surrogates Martin Engilberge Louis Chevallier P. Pérez Matthieu Cord 36 65 0 08 Apr 2019
Classification is a Strong Baseline for Deep Metric Learning Andrew Zhai Hao Wu VLM 66 25 0 30 Nov 2018
Deep Metric Learning with Hierarchical Triplet Loss Weifeng Ge Weilin Huang Dengke Dong Matthew R. Scott 169 413 0 16 Oct 2018
Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings Micael Carvalho Rémi Cadène David Picard Laure Soulier Nicolas Thome Matthieu Cord 43 180 0 30 Apr 2018
Local Descriptors Optimized for Average Precision Kun He Yan Lu Stan Sclaroff 50 196 0 15 Apr 2018
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
Sampling Matters in Deep Embedding Learning Chaoxia Wu R. Manmatha Alex Smola Philipp Krahenbuhl 95 923 0 23 Jun 2017
Hashing as Tie-Aware Learning to Rank Kun He Fatih Çakir Sarah Adel Bargal Stan Sclaroff FedML 38 84 0 23 May 2017
Smart Mining for Deep Metric Learning Ben Harwood B. V. Kumar G. Carneiro Ian Reid Tom Drummond 57 350 0 05 Apr 2017
No Fuss Distance Metric Learning using Proxies Yair Movshovitz-Attias Alexander Toshev Thomas Leung Sergey Ioffe Saurabh Singh 85 641 0 21 Mar 2017
Billion-scale similarity search with GPUs Jeff Johnson Matthijs Douze Hervé Jégou 257 3,721 0 28 Feb 2017
Learning Deep Embeddings with Histogram Loss E. Ustinova Victor Lempitsky 106 351 0 02 Nov 2016
End-to-end Learning of Deep Visual Representations for Image Retrieval Albert Gordo Jon Almazán Jérôme Revaud Diane Larlus VLM 84 541 0 25 Oct 2016
Efficient Optimization for Rank-based Loss Functions Pritish Mohapatra Michal Rolínek C. V. Jawahar V. Kolmogorov M. P. Kumar 53 38 0 27 Apr 2016
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 194,020 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 1.8K 150,115 0 22 Dec 2014