Fetching the paper…
Reading the bibliography…
Metric learning aims at learning a distance which is consistent with the semantic meaning of the samples.
Distance metric learning with application to clustering with side-information
Eric P Xing, Michael I Jordan, Stuart J Russell, and Andrew Y Ng · 2003
Earlier work this paper cites.
Learning a Similarity Metric Discriminatively, with Application to Face Verification
S. Chopra, R. Hadsell, and Y. LeCun · 2005
Earlier work this paper cites.
Rank-based distance metric learning: An application to image retrieval
Jung-Eun Lee, Rong Jin, and Anil K Jain · 2008
Earlier work this paper cites.
Introduction to Information Retrieval
Hinrich Schütze, Christopher D Manning, and Prabhakar Raghavan · 2008
Earlier work this paper cites.
Is that you? metric learning approaches for face identification
Matthieu Guillaumin, Jakob Verbeek, and Cordelia Schmid · 2009
Earlier work this paper cites.
Caltech-UCSD Birds 200
P. Welinder, S. Branson, T. Mita, C. Wah, F. Schroff, S. Belongie, and P. Perona · 2010
Earlier work this paper cites.
Large scale metric learning from equivalence constraints
Martin Koestinger, Martin Hirzer, Paul Wohlhart, Peter M Roth, and Horst Bischof · 2012
Earlier work this paper cites.
3D Object Representations for Fine-Grained Categorization
Jonathan Krause, Michael Stark, Jia Deng, and Li Fei-Fei · 2013
Earlier work this paper cites.
Cnn features off-the-Shelf: an Astounding Baseline for Recognition
Ali Sharif Razavian, Hossein Azizpour, Josephine Sullivan, and Stefan Carlsson · 2014
Earlier work this paper cites.
Aggregating Deep Convolutional Features for Image Retrieval
Artem Babenko and Victor Lempitsky · 2015
Earlier work this paper cites.
Distilling the Knowledge in a Neural Network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2015
Earlier work this paper cites.
Deep Metric Learning Using Triplet Network
Elad Hoffer and Nir Ailon · 2015
Earlier work this paper cites.
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe and Christian Szegedy · 2015
Cited alongside, same era.
Lenet-5, Convolutional Neural Networks
Yann LeCun et al · 2015
Cited alongside, same era.
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
Cited alongside, same era.
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff, Dmitry Kalenichenko, and James Philbin · 2015
Cited alongside, same era.
Going Deeper With Convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich, et al · 2015
Cited alongside, same era.
Tensorflow: A System for Large-Scale Machine Learning
Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, et al · 2016
Multichannel-kernel canonical correlation analysis for cross-view person reidentification
Giuseppe Lisanti, Svebor Karaman, and Iacopo Masi · 2017
Later among the works it cites.
SphereFace: Deep Hypersphere Embedding for Face Recognition
Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, and Le Song · 2017
Later among the works it cites.
Working Hard to Know Your Neighbor’s Margins: Local Descriptor Learning Loss
Anastasiya Mishchuk, Dmytro Mishkin, Filip Radenovic, and Jiri Matas · 2017
Later among the works it cites.
No Fuss Distance Metric Learning Using Proxies
Yair Movshovitz-Attias, Alexander Toshev, Thomas K. Leung, Sergey Ioffe, and Saurabh Singh · 2017
Later among the works it cites.
L2-constrained Softmax Loss for Discriminative Face Verification
Rajeev Ranjan, Carlos D. Castillo, and Rama Chellappa · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Deepfashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations
Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, and Xiaoou Tang · 2016
Cited alongside, same era.
Deep Metric Learning via Lifted Structured Feature Embedding
Hyun Oh Song, Yu Xiang, Stefanie Jegelka, and Silvio Savarese · 2016
Cited alongside, same era.
Learning Deep Embeddings with Histogram Loss
Evgeniya Ustinova and Victor Lempitsky · 2016
Cited alongside, same era.
Adaptive distance metric learning for clustering
Jieping Ye, Zheng Zhao, and Huan Liu · 2016
Cited alongside, same era.
Smart Mining for Deep Metric Learning
Ben Harwood, Vijay Kumar B G, Gustavo Carneiro, Ian Reid, and Tom Drummond · 2017
Cited alongside, same era.
Deep Spectral Clustering Learning
Marc T. Law, Raquel Urtasun, and Richard S. Zemel · 2017
Cited alongside, same era.
Deep Metric Learning via Facility Location
Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, and Kevin Murphy · 2017
Later among the works it cites.
NormFace: L2 Hypersphere Embedding for Face Verification
Feng Wang, Xiang Xiang, Jian Cheng, and Alan L. Yuille · 2017
Later among the works it cites.
Deep Metric Learning with Angular Loss
Jian Wang, Feng Zhou, Shilei Wen, Xiao Liu, and Yuanqing Lin · 2017
Later among the works it cites.
Sampling Matters in Deep Embedding Learning
Chao-Yuan Wu, R. Manmatha, Alexander J. Smola, and Philipp Krähenbühl · 2017
Later among the works it cites.
Hard-Aware Deeply Cascaded Embedding
Yuhui Yuan, Kuiyuan Yang, and Chao Zhang · 2017
Later among the works it cites.
Learning Spread-Out Local Feature Descriptors
Xu Zhang, Felix X. Yu, Sanjiv Kumar, and Shih-Fu Chang · 2017
Later among the works it cites.