Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly

15 January 2018

Papers citing "Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly"

39 / 39 papers shown

Title
Deep Metric Learning with Angular Loss Jian Wang Feng Zhou Shilei Wen Xiao-Chang Liu Yuanqing Lin DML 57 503 0 04 Aug 2017
Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition Shizhong Han Zibo Meng Ahmed-Shehab Khan Yan Tong CLL 38 109 0 17 Jul 2017
Sampling Matters in Deep Embedding Learning Chaoxia Wu R. Manmatha Alex Smola Philipp Krahenbuhl 87 921 0 23 Jun 2017
Smart Mining for Deep Metric Learning Ben Harwood B. V. Kumar G. Carneiro Ian Reid Tom Drummond 45 350 0 05 Apr 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros GAN 103 5,556 0 30 Mar 2017
No Fuss Distance Metric Learning using Proxies Yair Movshovitz-Attias Alexander Toshev Thomas Leung Sergey Ioffe Saurabh Singh 62 636 0 21 Mar 2017
Incorporating Intra-Class Variance to Fine-Grained Visual Recognition Yan Em Feng Gao Yihang Lou Shiqi Wang Tiejun Huang Ling-yu Duan 52 70 0 01 Mar 2017
Adversarial Discriminative Domain Adaptation Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 244 4,646 0 17 Feb 2017
Hard-Aware Deeply Cascaded Embedding Yuhui Yuan Kuiyuan Yang Chao Zhang 71 301 0 17 Nov 2016
Least Squares Generative Adversarial Networks Xudong Mao Qing Li Haoran Xie Raymond Y. K. Lau Zhen Wang Stephen Paul Smolley GAN 273 4,554 0 13 Nov 2016
Learning Deep Embeddings with Histogram Loss E. Ustinova Victor Lempitsky 93 350 0 02 Nov 2016
Embedding Deep Metric for Person Re-identication A Study Against Large Variations Hailin Shi Yang Yang Xiangyu Zhu Tianran Ouyang Zhen Lei Weishi Zheng Stan Z. Li 41 308 0 01 Nov 2016
Local Similarity-Aware Deep Feature Embedding Chen Huang Chen Change Loy Xiaoou Tang 54 175 0 27 Oct 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 356 18,300 0 27 May 2016
Siamese Instance Search for Tracking Ran Tao E. Gavves A. Smeulders 39 593 0 19 May 2016
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions B. V. Kumar G. Carneiro Ian Reid SSL 56 310 0 31 Dec 2015
Data-dependent Initializations of Convolutional Neural Networks Philipp Krahenbuhl Carl Doersch Jeff Donahue Trevor Darrell VLM 86 202 0 21 Nov 2015
Deep Metric Learning via Lifted Structured Feature Embedding Hyun Oh Song Yu Xiang Stefanie Jegelka Silvio Savarese FedML SSL DML 84 1,641 0 19 Nov 2015
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 234 13,968 0 19 Nov 2015
All you need is a good init Dmytro Mishkin Jirí Matas ODL 74 608 0 19 Nov 2015
Reducing Overfitting in Deep Networks by Decorrelating Representations Michael Cogswell Faruk Ahmed Ross B. Girshick C. L. Zitnick Dhruv Batra 70 414 0 19 Nov 2015
Metric Learning with Adaptive Density Discrimination Oren Rippel Manohar Paluri Piotr Dollar Lubomir D. Bourdev 44 215 0 18 Nov 2015
Simultaneous Deep Transfer Across Domains and Tasks Eric Tzeng Judy Hoffman Trevor Darrell Kate Saenko OOD 69 1,367 0 08 Oct 2015
Online Gradient Boosting A. Beygelzimer Elad Hazan Satyen Kale Haipeng Luo 60 60 0 16 Jun 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 349 9,418 0 28 May 2015
Boosting Convolutional Features for Robust Object Proposals Nikolaos Karianakis Thomas J. Fuchs Stefano Soatto OOD ObjD 44 29 0 21 Mar 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 299 13,079 0 12 Mar 2015
Learning Descriptors for Object Recognition and 3D Pose Estimation Paul Wohlhart Vincent Lepetit 47 445 0 20 Feb 2015
Optimal and Adaptive Algorithms for Online Boosting A. Beygelzimer Satyen Kale Haipeng Luo 37 81 0 09 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 217 18,534 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.1K 149,474 0 22 Dec 2014
Deeply-Supervised Nets Chen-Yu Lee Saining Xie Patrick W. Gallagher Zhengyou Zhang Zhuowen Tu 301 2,229 0 18 Sep 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 356 43,511 0 17 Sep 2014
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 1.2K 39,383 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 225 14,703 0 20 Jun 2014
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks Andrew M. Saxe James L. McClelland Surya Ganguli ODL 136 1,830 0 20 Dec 2013
A Survey on Metric Learning for Feature Vectors and Structured Data A. Bellet Amaury Habrard M. Sebban 100 680 0 28 Jun 2013
An Online Boosting Algorithm with Theoretical Justifications Shang-Tse Chen Hsuan-Tien Lin Chi-Jen Lu 95 82 0 27 Jun 2012
Positive Semidefinite Metric Learning Using Boosting-like Algorithms Chunhua Shen Junae Kim Lei Wang Anton Van Den Hengel 118 85 0 25 Apr 2011