Attention-based Ensemble for Deep Metric Learning

2 April 2018

Papers citing "Attention-based Ensemble for Deep Metric Learning"

38 / 38 papers shown

Title
GlobalMamba: Global Image Serialization for Vision Mamba Chengkun Wang Wenzhao Zheng Jie Zhou Jiwen Lu Mamba 40 0 0 14 Oct 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling Yun Yue Fangzhou Lin Guanyi Mou Ziming Zhang SSL 30 1 0 23 Apr 2024
Deep Metric Learning with Chance Constraints Y. Z. Gürbüz Ogul Can A. Aydin Alatan 27 2 0 19 Sep 2022
Rank-Enhanced Low-Dimensional Convolution Set for Hyperspectral Image Denoising Jinhui Hou Zhiyu Zhu Hui Liu Junhui Hou BDL 21 0 0 09 Jul 2022
Attention-based Dynamic Subspace Learners for Medical Image Analysis V. SukeshAdiga Jose Dolz H. Lombaert 21 1 0 18 Jun 2022
Improving Generalization of Metric Learning via Listwise Self-distillation Zelong Zeng Fan Yang Zihan Wang Shiníchi Satoh FedML 38 1 0 17 Jun 2022
Self-Taught Metric Learning without Labels Sungyeon Kim Dongwon Kim Minsu Cho Suha Kwak SSL 27 20 0 04 May 2022
The Group Loss++: A deeper look into group loss for deep metric learning Ismail Elezi Jenny Seidenschwarz Laurin Wagner Sebastiano Vascon Alessandro Torcinovich Marcello Pelillo Laura Leal-Taixe 29 12 0 04 Apr 2022
Attributable Visual Similarity Learning Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu 22 17 0 28 Mar 2022
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning Aleksandr Ermolov L. Mirvakhabova Valentin Khrulkov N. Sebe Ivan Oseledets 30 100 0 21 Mar 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning Karsten Roth Oriol Vinyals Zeynep Akata 24 36 0 16 Mar 2022
BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension Task Maria Mahbub Sudarshan Srinivasan Edmon Begoli Gregory D. Peterson 19 11 0 26 Feb 2022
Adaptive neighborhood Metric learning Kun Song Junwei Han Gong Cheng Jiwen Lu Feiping Nie 17 27 0 20 Jan 2022
Multi-Head Deep Metric Learning Using Global and Local Representations M. K. Ebrahimpour Gang Qian Allison Beach 27 8 0 28 Dec 2021
Improving Deep Metric Learning by Divide and Conquer A. Sanakoyeu Pingchuan Ma Vadim Tschernezki Bjorn Ommer 32 14 0 09 Sep 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 59 1,111 0 07 Jul 2021
Orthogonal Ensemble Networks for Biomedical Image Segmentation Agostina J. Larrazabal Cesar E. Martínez Jose Dolz Enzo Ferrante UQCV 18 22 0 22 May 2021
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning Geonmo Gu ByungSoo Ko Han-Gyu Kim 27 36 0 29 Mar 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation Alexandre Ramé Matthieu Cord FedML 53 51 0 14 Jan 2021
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping Xinyi Xu Zhangyang Wang Cheng Deng Hao Yuan Shuiwang Ji FedML 25 14 0 17 Nov 2020
Where to Look and How to Describe: Fashion Image Retrieval with an Attentional Heterogeneous Bilinear Network Haibo Su Peng Wang Lingqiao Liu Hui Li Zhuguo Li Yanning Zhang 27 27 0 26 Oct 2020
End-to-End Training of CNN Ensembles for Person Re-Identification Ayse Serbetci Y. S. Akgul 16 23 0 03 Oct 2020
Learning Target Domain Specific Classifier for Partial Domain Adaptation Chuan-Xian Ren Pengfei Ge Peiyi Yang Shuicheng Yan 115 43 0 25 Aug 2020
Incomplete Descriptor Mining with Elastic Loss for Person Re-Identification Hongchen Tan Yuhao Bian Huasheng Wang Xiuping Liu Baocai Yin 25 70 0 10 Aug 2020
Hard negative examples are hard, but useful Hong Xuan Abby Stylianou Xiaotong Liu Robert Pless DML 35 124 0 24 Jul 2020
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval A. Brown Weidi Xie Vicky Kalogeiton Andrew Zisserman 47 163 0 23 Jul 2020
Diverse Ensembles Improve Calibration Asa Cooper Stickland Iain Murray UQCV FedML 27 26 0 08 Jul 2020
A Metric Learning Reality Check Kevin Musgrave Serge J. Belongie Ser-Nam Lim 59 475 0 18 Mar 2020
A Simple and Effective Framework for Pairwise Deep Metric Learning Qi Qi Yan Yan Xiaoyu Wang Tianbao Yang 17 26 0 24 Dec 2019
The Group Loss for Deep Metric Learning Ismail Elezi Sebastiano Vascon Alessandro Torcinovich Marcello Pelillo Laura Leal-Taixe 14 50 0 01 Dec 2019
Deep Metric Learning using Similarities from Nonlinear Rank Approximations Konstantin Schall Kai Uwe Barthel Nico Hezel Klaus Jung DML 15 3 0 20 Sep 2019
Fashion Image Retrieval with Capsule Networks Furkan Kinli B. Özcan Mustafa Furkan Kıraç 3DPC 30 30 0 26 Aug 2019
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Pierre Jacob David Picard A. Histace Edouard Klein DML 25 59 0 07 Aug 2019
Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval Binghui Chen Weihong Deng VLM FedML 26 55 0 27 Jul 2019
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment Chen Huang Shuangfei Zhai Walter A. Talbott Miguel Angel Bautista Shi Sun Carlos Guestrin J. Susskind 29 75 0 15 May 2019
Improved Embeddings with Easy Positive Triplet Mining Hong Xuan Abby Stylianou Robert Pless 28 131 0 08 Apr 2019
Combination of Multiple Global Descriptors for Image Retrieval HeeJae Jun ByungSoo Ko Youngjoon Kim Insik Kim Jongtack Kim 20 59 0 26 Mar 2019
Learning Embeddings for Product Visual Search with Triplet Loss and Online Sampling Eric Dodds Huy Nguyen Simão Herdade Jack Culpepper Andrew Kae Pierre Garrigues DML 27 5 0 10 Oct 2018