Attention-based Ensemble for Deep Metric Learning

2 April 2018

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

26 / 26 papers shown

Title
GlobalMamba: Global Image Serialization for Vision Mamba Chengkun Wang Wenzhao Zheng Jie Zhou Jiwen Lu Mamba 35 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 Aydin Alatan 19 2 0 19 Sep 2022
Rank-Enhanced Low-Dimensional Convolution Set for Hyperspectral Image Denoising Jinhui Hou Zhiyu Zhu Hui Liu Junhui Hou BDL 10 0 0 09 Jul 2022
Attention-based Dynamic Subspace Learners for Medical Image Analysis V. SukeshAdiga Jose Dolz H. Lombaert 18 1 0 18 Jun 2022
Improving Generalization of Metric Learning via Listwise Self-distillation Zelong Zeng Fan Yang Z. Wang Shiníchi Satoh FedML 33 1 0 17 Jun 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 24 12 0 04 Apr 2022
Attributable Visual Similarity Learning Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu 16 17 0 28 Mar 2022
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning Aleksandr Ermolov L. Mirvakhabova Valentin Khrulkov N. Sebe Ivan V. Oseledets 25 100 0 21 Mar 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning Karsten Roth Oriol Vinyals Zeynep Akata 19 36 0 16 Mar 2022
Improving Deep Metric Learning by Divide and Conquer A. Sanakoyeu Pingchuan Ma Vadim Tschernezki Bjorn Ommer 24 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 30 1,109 0 07 Jul 2021
Orthogonal Ensemble Networks for Biomedical Image Segmentation Agostina J. Larrazabal Cesar E. Martínez Jose Dolz Enzo Ferrante UQCV 16 22 0 22 May 2021
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning Geonmo Gu ByungSoo Ko Han-Gyu Kim 19 36 0 29 Mar 2021
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping Xinyi Xu Zhangyang Wang Cheng Deng Hao Yuan Shuiwang Ji FedML 19 14 0 17 Nov 2020
Incomplete Descriptor Mining with Elastic Loss for Person Re-Identification Hongchen Tan Yuhao Bian Huasheng Wang Xiuping Liu Baocai Yin 19 70 0 10 Aug 2020
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval A. Brown Weidi Xie Vicky Kalogeiton Andrew Zisserman 37 163 0 23 Jul 2020
Diverse Ensembles Improve Calibration Asa Cooper Stickland Iain Murray UQCV FedML 19 26 0 08 Jul 2020
A Metric Learning Reality Check Kevin Musgrave Serge J. Belongie Ser-Nam Lim 33 474 0 18 Mar 2020
A Simple and Effective Framework for Pairwise Deep Metric Learning Qi Qi Yan Yan Xiaoyu Wang Tianbao Yang 10 26 0 24 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 12 30 0 26 Aug 2019
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Pierre Jacob David Picard A. Histace Edouard Klein DML 17 59 0 07 Aug 2019
Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval Binghui Chen Weihong Deng VLM FedML 22 55 0 27 Jul 2019
Improved Embeddings with Easy Positive Triplet Mining Hong Xuan Abby Stylianou Robert Pless 25 131 0 08 Apr 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 24 5 0 10 Oct 2018