A Framework to Enhance Generalization of Deep Metric Learning methods using General Discriminative Feature Learning and Class Adversarial Neural Networks

11 June 2021

Papers citing "A Framework to Enhance Generalization of Deep Metric Learning methods using General Discriminative Feature Learning and Class Adversarial Neural Networks"

21 / 21 papers shown

Title
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning Geonmo Gu ByungSoo Ko Han-Gyu Kim 32 36 0 29 Mar 2021
Symmetrical Synthesis for Deep Metric Learning Geonmo Gu ByungSoo Ko GAN 11 24 0 31 Jan 2020
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling Qi Qian Lei Shang Baigui Sun Juhua Hu Hao Li Rong Jin 29 373 0 11 Sep 2019
Revisiting Metric Learning for Few-Shot Image Classification Xiaomeng Li Lequan Yu Chi-Wing Fu Meng Fang Pheng-Ann Heng VLM 36 93 0 06 Jul 2019
Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning Xun Wang Xintong Han Weilin Huang Dengke Dong Matthew R. Scott 40 742 0 14 Apr 2019
Hardness-Aware Deep Metric Learning Wenzhao Zheng Zhaodong Chen Jiwen Lu Jie Zhou 32 172 0 13 Mar 2019
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering Binghui Chen Weihong Deng 42 29 0 22 Jan 2019
Deep Metric Learning with Hierarchical Triplet Loss Weifeng Ge Weilin Huang Dengke Dong Matthew R. Scott 45 413 0 16 Oct 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 212 9,687 0 25 Oct 2017
DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding Tao Shen Dinesh Manocha Guodong Long Jing Jiang Shirui Pan Chengqi Zhang 28 751 0 14 Sep 2017
Deep Metric Learning with Angular Loss Jian Wang Feng Zhou Shilei Wen Xiao-Chang Liu Yuanqing Lin DML 44 503 0 04 Aug 2017
Deep Representation Learning with Part Loss for Person Re-Identification Hantao Yao Shiliang Zhang Yongdong Zhang Changsheng Xu Q. Tian 32 416 0 04 Jul 2017
Sampling Matters in Deep Embedding Learning Chaoxia Wu R. Manmatha Alex Smola Philipp Krahenbuhl 75 921 0 23 Jun 2017
No Fuss Distance Metric Learning using Proxies Yair Movshovitz-Attias Alexander Toshev Thomas Leung Sergey Ioffe Saurabh Singh 33 636 0 21 Mar 2017
Learning Deep Embeddings with Histogram Loss E. Ustinova Victor Lempitsky 68 350 0 02 Nov 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 258 27,231 0 02 Dec 2015
Deep Metric Learning via Lifted Structured Feature Embedding Hyun Oh Song Yu Xiang Stefanie Jegelka Silvio Savarese FedML SSL DML 37 1,641 0 19 Nov 2015
Metric Learning with Adaptive Density Discrimination Oren Rippel Manohar Paluri Piotr Dollar Lubomir D. Bourdev 22 215 0 18 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 200 13,079 0 12 Mar 2015
Deep metric learning using Triplet network Elad Hoffer Nir Ailon SSL DML 89 1,989 0 20 Dec 2014
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 51 1,315 0 17 Apr 2014