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Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough

9 February 2021

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Papers citing "Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough"

31 / 31 papers shown

Title
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning Geonmo Gu ByungSoo Ko Han-Gyu Kim 50 36 0 29 Mar 2021
Multi-level Distance Regularization for Deep Metric Learning Y. Kim Wonpyo Park 60 14 0 08 Feb 2021
Learning and aggregating deep local descriptors for instance-level recognition Giorgos Tolias Tomás Jenícek Ondvrej Chum FedML 222 102 0 26 Jul 2020
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval A. Brown Weidi Xie Vicky Kalogeiton Andrew Zisserman 105 164 0 23 Jul 2020
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning Timo Milbich Karsten Roth Homanga Bharadhwaj Samarth Sinha Yoshua Bengio Bjorn Ommer Joseph Paul Cohen 112 66 0 28 Apr 2020
Sharing Matters for Generalization in Deep Metric Learning Timo Milbich Karsten Roth Biagio Brattoli Bjorn Ommer FedML OOD 48 23 0 12 Apr 2020
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis Eu Wern Teh Terrance Devries Graham W. Taylor 63 158 0 02 Apr 2020
Circle Loss: A Unified Perspective of Pair Similarity Optimization Yifan Sun Changmao Cheng Yuhan Zhang Chi Zhang Liang Zheng Zhongdao Wang Yichen Wei 101 859 0 25 Feb 2020
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning Karsten Roth Timo Milbich Samarth Sinha Prateek Gupta Bjorn Ommer Joseph Paul Cohen 68 171 0 19 Feb 2020
Cross-Batch Memory for Embedding Learning Xun Wang H. Zhang Weilin Huang Matthew R. Scott 131 247 0 14 Dec 2019
MIC: Mining Interclass Characteristics for Improved Metric Learning Karsten Roth Biagio Brattoli Bjorn Ommer 64 89 0 25 Sep 2019
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling Qi Qian Lei Shang Baigui Sun Juhua Hu Hao Li Rong Jin 68 374 0 11 Sep 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 62 374 0 18 Jun 2019
Divide and Conquer the Embedding Space for Metric Learning A. Sanakoyeu Vadim Tschernezki U. Büchler Bjorn Ommer SSL 83 107 0 14 Jun 2019
SoDeep: a Sorting Deep net to learn ranking loss surrogates Martin Engilberge Louis Chevallier P. Pérez Matthieu Cord 42 65 0 08 Apr 2019
Local Descriptors Optimized for Average Precision Kun He Yan Lu Stan Sclaroff 53 196 0 15 Apr 2018
Fine-tuning CNN Image Retrieval with No Human Annotation Filip Radenovic Giorgos Tolias Ondřej Chum 84 1,307 0 03 Nov 2017
Cross-Domain Image Retrieval with Attention Modeling Xin Ji Wei Wang Mei-juan Zhang Yang Yang 85 82 0 06 Sep 2017
Sampling Matters in Deep Embedding Learning Chaoxia Wu R. Manmatha Alex Smola Philipp Krahenbuhl 117 923 0 23 Jun 2017
Hashing as Tie-Aware Learning to Rank Kun He Fatih Çakir Sarah Adel Bargal Stan Sclaroff FedML 48 84 0 23 May 2017
No Fuss Distance Metric Learning using Proxies Yair Movshovitz-Attias Alexander Toshev Thomas Leung Sergey Ioffe Saurabh Singh 91 642 0 21 Mar 2017
Learning Deep Embeddings with Histogram Loss E. Ustinova Victor Lempitsky 117 351 0 02 Nov 2016
Efficient Optimization for Rank-based Loss Functions Pritish Mohapatra Michal Rolínek C. V. Jawahar V. Kolmogorov M. P. Kumar 59 38 0 27 Apr 2016
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples Filip Radenovic Giorgos Tolias Ondřej Chum SSL 95 599 0 08 Apr 2016
Deep Image Retrieval: Learning global representations for image search Albert Gordo Jon Almazán Jérôme Revaud Diane Larlus 74 806 0 05 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
NetVLAD: CNN architecture for weakly supervised place recognition Relja Arandjelović Petr Gronát Akihiko Torii Tomas Pajdla Josef Sivic 3DV SSL 127 2,647 0 23 Nov 2015
Deep Metric Learning via Lifted Structured Feature Embedding Hyun Oh Song Yu Xiang Stefanie Jegelka Silvio Savarese FedML SSL DML 97 1,643 0 19 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 389 13,145 0 12 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
Learning Fine-grained Image Similarity with Deep Ranking Jiang Wang Yang Song Thomas Leung C. Rosenberg Jingbin Wang James Philbin Bo Chen Ying Nian Wu SSL 114 1,318 0 17 Apr 2014