Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?

8 March 2018

Papers citing "Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?"

25 / 25 papers shown

Title
Attention-based Ensemble for Deep Metric Learning Wonsik Kim Bhavya Goyal Kunal Chawla Jungmin Lee Keunjoo Kwon FedML 48 226 0 02 Apr 2018
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking Filip Radenovic Ahmet Iscen Giorgos Tolias Yannis Avrithis Ondřej Chum 34 376 0 29 Mar 2018
Significance of Softmax-based Features in Comparison to Distance Metric Learning-based Features Shota Horiguchi Daiki Ikami Kiyoharu Aizawa 37 64 0 29 Dec 2017
Fine-tuning CNN Image Retrieval with No Human Annotation Filip Radenovic Giorgos Tolias Ondřej Chum 47 1,294 0 03 Nov 2017
Deep Metric Learning with Angular Loss Jian Wang Feng Zhou Shilei Wen Xiao-Chang Liu Yuanqing Lin DML 46 503 0 04 Aug 2017
Sampling Matters in Deep Embedding Learning Chaoxia Wu R. Manmatha Alex Smola Philipp Krahenbuhl 75 921 0 23 Jun 2017
Revisiting IM2GPS in the Deep Learning Era Nam N. Vo Nathan Jacobs James Hays 35 115 0 13 May 2017
Smart Mining for Deep Metric Learning Ben Harwood B. V. Kumar G. Carneiro Ian Reid Tom Drummond 38 350 0 05 Apr 2017
In Defense of the Triplet Loss for Person Re-Identification Alexander Hermans Lucas Beyer Bastian Leibe DML 39 3,192 0 22 Mar 2017
No Fuss Distance Metric Learning using Proxies Yair Movshovitz-Attias Alexander Toshev Thomas Leung Sergey Ioffe Saurabh Singh 35 636 0 21 Mar 2017
Highway and Residual Networks learn Unrolled Iterative Estimation Klaus Greff R. Srivastava Jürgen Schmidhuber AI4TS 58 215 0 22 Dec 2016
Hard-Aware Deeply Cascaded Embedding Yuhui Yuan Kuiyuan Yang Chao Zhang 71 301 0 17 Nov 2016
Local Similarity-Aware Deep Feature Embedding Chen Huang Chen Change Loy Xiaoou Tang 41 175 0 27 Oct 2016
Localizing and Orienting Street Views Using Overhead Imagery Nam N. Vo James Hays 44 246 0 30 Jul 2016
Learning a Metric Embedding for Face Recognition using the Multibatch Method Oren Tadmor Y. Wexler Tal Rosenwein Shai Shalev-Shwartz Amnon Shashua CVBM 39 53 0 24 May 2016
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples Filip Radenovic Giorgos Tolias Ondřej Chum SSL 72 599 0 08 Apr 2016
Deep Image Retrieval: Learning global representations for image search Albert Gordo Jon Almazán Jérôme Revaud Diane Larlus 43 803 0 05 Apr 2016
Deep Feature Learning with Relative Distance Comparison for Person Re-identification Shengyong Ding Liang Lin Guangrun Wang Hongyang Chao 48 669 0 11 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 998 192,638 0 10 Dec 2015
NetVLAD: CNN architecture for weakly supervised place recognition Relja Arandjelović Petr Gronát Akihiko Torii Tomas Pajdla Josef Sivic 3DV SSL 105 2,618 0 23 Nov 2015
Deep Metric Learning via Lifted Structured Feature Embedding Hyun Oh Song Yu Xiang Stefanie Jegelka Silvio Savarese FedML SSL DML 46 1,641 0 19 Nov 2015
Particular object retrieval with integral max-pooling of CNN activations Giorgos Tolias R. Sicre Hervé Jégou 61 967 0 18 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 222 13,079 0 12 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 210 43,154 0 11 Feb 2015
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 57 1,315 0 17 Apr 2014