Large-scale Distance Metric Learning with Uncertainty

Large-scale Distance Metric Learning with Uncertainty

25 May 2018

Hao Li

Papers citing "Large-scale Distance Metric Learning with Uncertainty"

9 / 9 papers shown

Title
No Fuss Distance Metric Learning using Proxies Yair Movshovitz-Attias Alexander Toshev Thomas Leung Sergey Ioffe Saurabh Singh 85 641 0 21 Mar 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 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
Metric Learning with Adaptive Density Discrimination Oren Rippel Manohar Paluri Piotr Dollar Lubomir D. Bourdev 64 215 0 18 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 370 13,145 0 12 Mar 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,525 0 01 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 274 14,710 0 20 Jun 2014
Efficient Distance Metric Learning by Adaptive Sampling and Mini-Batch Stochastic Gradient Descent (SGD) Qi Qian Rong Jin Jinfeng Yi Lijun Zhang Shenghuo Zhu 65 101 0 03 Apr 2013
Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization Alexander Rakhlin Ohad Shamir Karthik Sridharan 164 768 0 26 Sep 2011