Divide and Conquer the Embedding Space for Metric Learning

Divide and Conquer the Embedding Space for Metric Learning

14 June 2019

Vadim Tschernezki

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

17 / 17 papers shown

Title
Leveraging Large Language Models for Multimodal Search Oriol Barbany Michael Huang Xinliang Zhu Arnab Dhua 29 9 0 24 Apr 2024
Enhancing Face Recognition with Latent Space Data Augmentation and Facial Posture Reconstruction Soroush Hashemifar Abdolreza Marefat Javad Hassannataj Joloudari H. Hassanpour CVBM 26 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
Deep Metric Learning with Chance Constraints Y. Z. Gürbüz Ogul Can Aydin Alatan 19 2 0 19 Sep 2022
Learning Deep Optimal Embeddings with Sinkhorn Divergences S. Roy Yan Han Mehrtash Harandi L. Petersson 17 0 0 14 Sep 2022
Attention-based Dynamic Subspace Learners for Medical Image Analysis V. SukeshAdiga Jose Dolz H. Lombaert 18 1 0 18 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
Was that so hard? Estimating human classification difficulty Morten Rieger Hannemose Josefine Vilsbøll Sundgaard N. K. Ternov Rasmus Paulsen Anders Christensen 12 4 0 22 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
LIGAR: Lightweight General-purpose Action Recognition Evgeny Izutov 10 3 0 30 Aug 2021
Instance-level Image Retrieval using Reranking Transformers Fuwen Tan Jiangbo Yuan Vicente Ordonez ViT 21 89 0 22 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
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval A. Brown Weidi Xie Vicky Kalogeiton Andrew Zisserman 41 163 0 23 Jul 2020
A Metric Learning Reality Check Kevin Musgrave Serge J. Belongie Ser-Nam Lim 36 474 0 18 Mar 2020
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications Biagio Brattoli Joseph Tighe Fedor Zhdanov Pietro Perona Krzysztof Chalupka VLM 134 127 0 03 Mar 2020
Part-Guided Attention Learning for Vehicle Instance Retrieval Xinyu Zhang Rufeng Zhang Jiewei Cao Dong Gong Mingyu You Chunhua Shen 29 37 0 13 Sep 2019