Divide and Conquer the Embedding Space for Metric Learning

14 June 2019

Papers citing "Divide and Conquer the Embedding Space for Metric Learning"

50 / 64 papers shown

Title
Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization Mihcael Green Matan Levy Issar Tzachor Dvir Samuel N. Darshan Rami Ben-Ari 56 0 0 10 Mar 2025
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift Yanru Sun Zongxia Xie Emadeldeen Eldele Dongyue Chen Q. Hu Min-man Wu AI4TS 28 2 0 13 Oct 2024
Realigned Softmax Warping for Deep Metric Learning Michael DeMoor John J. Prevost 54 1 0 28 Aug 2024
A Systematic Review on Long-Tailed Learning Chongsheng Zhang G. Almpanidis Gaojuan Fan Binquan Deng Yanbo Zhang Ji Liu Aouaidjia Kamel Paolo Soda Joao Gama 34 7 0 01 Aug 2024
Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate Metric XiRuo Jiang Yazhou Yao Xili Dai Fumin Shen Xian-Sheng Hua Heng-Tao Shen 37 0 0 03 Jul 2024
Leveraging Large Language Models for Multimodal Search Oriol Barbany Michael Huang Xinliang Zhu Arnab Dhua 31 9 0 24 Apr 2024
Metric Learning from Limited Pairwise Preference Comparisons Zhi Wang Geelon So Ramya Korlakai Vinayak FedML 40 4 0 28 Mar 2024
Image Similarity using An Ensemble of Context-Sensitive Models Zukang Liao Min Chen 36 1 0 15 Jan 2024
ProcSim: Proxy-based Confidence for Robust Similarity Learning Oriol Barbany Xiaofan Lin Muhammet Bastan Arnab Dhua 21 2 0 01 Nov 2023
Introspective Deep Metric Learning Cheng-Hao Wang Wenzhao Zheng Zheng Hua Zhu Jie Zhou Jiwen Lu UQCV 35 12 0 11 Sep 2023
Generalized Sum Pooling for Metric Learning †. YetiZ.Gürbüz Ozan Sener Alatan RSiM FedML 40 6 0 18 Aug 2023
Enhancing Face Recognition with Latent Space Data Augmentation and Facial Posture Reconstruction Soroush Hashemifar Abdolreza Marefat Javad Hassannataj Joloudari H. Hassanpour CVBM 31 11 0 27 Jan 2023
Intra-class Adaptive Augmentation with Neighbor Correction for Deep Metric Learning Zheren Fu Zhendong Mao Bo Hu An-an Liu Yongdong Zhang 23 5 0 29 Nov 2022
Self-distillation with Online Diffusion on Batch Manifolds Improves Deep Metric Learning Zelong Zeng Fan Yang Hong Liu Shiníchi Satoh 14 0 0 14 Nov 2022
Contrastive Bayesian Analysis for Deep Metric Learning Shichao Kan Zhiquan He Yigang Cen Yang Li Mladenovic Vladimir Z. He 40 19 0 10 Oct 2022
Deep Metric Learning with Chance Constraints Y. Z. Gürbüz Ogul Can A. Aydin Alatan 29 2 0 19 Sep 2022
Learning Deep Optimal Embeddings with Sinkhorn Divergences S. Roy Yan Han Mehrtash Harandi L. Petersson 25 0 0 14 Sep 2022
Neural Embedding: Learning the Embedding of the Manifold of Physics Data Sang Eon Park Philip C. Harris B. Ostdiek PINN DRL AI4CE 33 16 0 10 Aug 2022
A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning Michael Kirchhof Karsten Roth Zeynep Akata Enkelejda Kasneci 30 12 0 08 Jul 2022
Attention-based Dynamic Subspace Learners for Medical Image Analysis V. SukeshAdiga Jose Dolz H. Lombaert 23 1 0 18 Jun 2022
Introspective Deep Metric Learning for Image Retrieval Wenzhao Zheng Cheng-Hao Wang Jie Zhou Jiwen Lu VLM 33 0 0 09 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 32 12 0 04 Apr 2022
Was that so hard? Estimating human classification difficulty Morten Rieger Hannemose Josefine Vilsbøll Sundgaard N. K. Ternov Rasmus Paulsen Anders Christensen 20 4 0 22 Mar 2022
Partitioning Image Representation in Contrastive Learning Hyunsub Lee Heeyoul Choi SSL DRL 17 1 0 20 Mar 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning Karsten Roth Oriol Vinyals Zeynep Akata 29 36 0 16 Mar 2022
Integrating Language Guidance into Vision-based Deep Metric Learning Karsten Roth Oriol Vinyals Zeynep Akata VLM 19 29 0 16 Mar 2022
Improving Deep Metric Learning by Divide and Conquer A. Sanakoyeu Pingchuan Ma Vadim Tschernezki Bjorn Ommer 39 14 0 09 Sep 2021
LIGAR: Lightweight General-purpose Action Recognition Evgeny Izutov 15 3 0 30 Aug 2021
Deep Relational Metric Learning Wenzhao Zheng Borui Zhang Jiwen Lu Jie Zhou 21 43 0 23 Aug 2021
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning Timo Milbich Karsten Roth Samarth Sinha Ludwig Schmidt Marzyeh Ghassemi Bjorn Ommer OOD OODD 31 22 0 20 Jul 2021
It Takes Two to Tango: Mixup for Deep Metric Learning Shashanka Venkataramanan Bill Psomas Ewa Kijak Laurent Amsaleg Konstantinos Karantzalos Yannis Avrithis 28 25 0 09 Jun 2021
Hierarchical Proxy-based Loss for Deep Metric Learning Zhibo Yang M. Bastan Xinliang Zhu Douglas Gray Dimitris Samaras 24 27 0 25 Mar 2021
Instance-level Image Retrieval using Reranking Transformers Fuwen Tan Jiangbo Yuan Vicente Ordonez ViT 28 89 0 22 Mar 2021
Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Mining Swapnil Bhosale Rupayan Chakraborty Sunil Kumar Kopparapu 16 4 0 16 Feb 2021
Learning Intra-Batch Connections for Deep Metric Learning Jenny Seidenschwarz Ismail Elezi Laura Leal-Taixé FedML 19 51 0 15 Feb 2021
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough Zhu Li Weiqing Min Jiajun Song Yaohui Zhu Liping Kang Xiaoming Wei Xiaolin K. Wei Shuqiang Jiang 38 10 0 09 Feb 2021
Multi-level Distance Regularization for Deep Metric Learning Y. Kim Wonpyo Park 21 14 0 08 Feb 2021
Sampling Training Data for Continual Learning Between Robots and the Cloud Sandeep P. Chinchali Evgenya Pergament Manabu Nakanoya Eyal Cidon E. Zhang Dinesh Bharadia Marco Pavone Sachin Katti 11 9 0 12 Dec 2020
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
S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning Karsten Roth Timo Milbich Bjorn Ommer Joseph Paul Cohen Marzyeh Ghassemi FedML 28 17 0 17 Sep 2020
Diversified Mutual Learning for Deep Metric Learning Wonpyo Park Wonjae Kim Kihyun You Minsu Cho FedML 30 6 0 09 Sep 2020
BroadFace: Looking at Tens of Thousands of People at Once for Face Recognition Y. Kim Wonpyo Park Jongju Shin CVBM 33 51 0 15 Aug 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
Exploiting Contextual Information with Deep Neural Networks Ismail Elezi 23 3 0 21 Jun 2020
Improving Deep Metric Learning with Virtual Classes and Examples Mining Pierre Jacob David Picard A. Histace Edouard Klein VLM 19 3 0 11 Jun 2020
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning Timo Milbich Karsten Roth Homanga Bharadhwaj Samarth Sinha Yoshua Bengio Bjorn Ommer Joseph Paul Cohen 35 66 0 28 Apr 2020
Dynamic Sampling for Deep Metric Learning Chang-Hui Liang Wanlei Zhao Run-Qing Chen 16 4 0 24 Apr 2020
Sharing Matters for Generalization in Deep Metric Learning Timo Milbich Karsten Roth Biagio Brattoli Bjorn Ommer FedML OOD 8 23 0 12 Apr 2020
Manifold-driven Attention Maps for Weakly Supervised Segmentation V. SukeshAdiga Jose Dolz H. Lombaert 16 4 0 07 Apr 2020
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis Eu Wern Teh Terrance Devries Graham W. Taylor 22 156 0 02 Apr 2020