Adaptive neighborhood Metric learning

20 January 2022

Junwei Han

Papers citing "Adaptive neighborhood Metric learning"

25 / 25 papers shown

Title
Proxy Anchor Loss for Deep Metric Learning Sungyeon Kim Dongwon Kim Minsu Cho Suha Kwak 46 354 0 31 Mar 2020
Circle Loss: A Unified Perspective of Pair Similarity Optimization Yifan Sun Changmao Cheng Yuhan Zhang Chi Zhang Liang Zheng Zhongdao Wang Yichen Wei 64 856 0 25 Feb 2020
Optimization for deep learning: theory and algorithms Ruoyu Sun ODL 68 168 0 19 Dec 2019
Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning Xun Wang Xintong Han Weilin Huang Dengke Dong Matthew R. Scott 44 742 0 14 Apr 2019
Hardness-Aware Deep Metric Learning Wenzhao Zheng Zhaodong Chen Jiwen Lu Jie Zhou 34 172 0 13 Mar 2019
Ranked List Loss for Deep Metric Learning Xinshao Wang Yang Hua Elyor Kodirov N. Robertson 43 246 0 08 Mar 2019
Deep Metric Learning with Hierarchical Triplet Loss Weifeng Ge Weilin Huang Dengke Dong Matthew R. Scott 87 413 0 16 Oct 2018
Lipschitz regularity of deep neural networks: analysis and efficient estimation Kevin Scaman Aladin Virmaux 58 523 0 28 May 2018
Attention-based Ensemble for Deep Metric Learning Wonsik Kim Bhavya Goyal Kunal Chawla Jungmin Lee Keunjoo Kwon FedML 60 226 0 02 Apr 2018
Learning Local Metrics and Influential Regions for Classification Mingzhi Dong Yujiang Wang Xiaochen Yang Jing-Hao Xue 48 21 0 09 Feb 2018
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly M. Opitz Georg Waltner Horst Possegger Horst Bischof FedML OOD 62 166 0 15 Jan 2018
Sampling Matters in Deep Embedding Learning Chaoxia Wu R. Manmatha Alex Smola Philipp Krahenbuhl 82 921 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
In Defense of the Triplet Loss for Person Re-Identification Alexander Hermans Lucas Beyer Bastian Leibe DML 46 3,192 0 22 Mar 2017
No Fuss Distance Metric Learning using Proxies Yair Movshovitz-Attias Alexander Toshev Thomas Leung Sergey Ioffe Saurabh Singh 44 636 0 21 Mar 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 131 4,817 0 26 Jan 2017
Geometric Mean Metric Learning P. Zadeh Reshad Hosseini S. Sra 88 166 0 18 Jul 2016
Deep Metric Learning via Lifted Structured Feature Embedding Hyun Oh Song Yu Xiang Stefanie Jegelka Silvio Savarese FedML SSL DML 70 1,641 0 19 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 266 13,079 0 12 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 286 43,154 0 11 Feb 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 1.0K 39,383 0 01 Sep 2014
Sparse Compositional Metric Learning Yuan Shi A. Bellet Fei Sha 59 91 0 15 Apr 2014
Fine-Grained Visual Categorization via Multi-stage Metric Learning Qi Qian Rong Jin Shenghuo Zhu Yuanqing Lin 30 5 0 03 Feb 2014
Non-sparse Linear Representations for Visual Tracking with Online Reservoir Metric Learning Xi Li Chunhua Shen Javen Qinfeng Shi A. Dick Anton Van Den Hengel 105 77 0 13 Apr 2012
Positive Semidefinite Metric Learning with Boosting Chunhua Shen Junae Kim Lei Wang Anton Van Den Hengel 97 96 0 13 Oct 2009