Deep Metric Learning with Hierarchical Triplet Loss

16 October 2018

Papers citing "Deep Metric Learning with Hierarchical Triplet Loss"

50 / 72 papers shown

Title
Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport Siqi Zeng Sixian Du M. Yamada Han Zhao OT 48 0 0 04 Oct 2024
Towards Fine-Grained Webpage Fingerprinting at Scale Xiyuan Zhao Xinhao Deng Qi Li Yunpeng Liu Zhuotao Liu Kun Sun Ke Xu 51 2 0 06 Sep 2024
Potential Field Based Deep Metric Learning Shubhang Bhatnagar Narendra Ahuja 53 1 0 28 May 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling Yun Yue Fangzhou Lin Guanyi Mou Ziming Zhang SSL 37 1 0 23 Apr 2024
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion Zijun Long George Killick Lipeng Zhuang Gerardo Aragon Camarasa Zaiqiao Meng R. McCreadie VLM 50 2 0 22 Feb 2024
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition Shubham Trehan U. Ramachandran Ruth Scimeca Sathyanarayanan N. Aakur 25 0 0 18 Sep 2023
Hierarchical Skeleton Meta-Prototype Contrastive Learning with Hard Skeleton Mining for Unsupervised Person Re-Identification Haocong Rao Cyril Leung Steven C. H. Hoi 3DH 41 8 0 24 Jul 2023
Deep Visual-Genetic Biometrics for Taxonomic Classification of Rare Species Tayfun Karaderi T. Burghardt R. Morard D. Schmidt 40 1 0 11 May 2023
Adaptive Sparse Pairwise Loss for Object Re-Identification Xiao Zhou Yujie Zhong Zhen Cheng Fan Liang Lin Ma 20 39 0 31 Mar 2023
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap Weiyang Liu L. Yu Adrian Weller Bernhard Schölkopf 37 18 0 11 Mar 2023
Global Proxy-based Hard Mining for Visual Place Recognition A. Ali-bey B. Chaib-draa Philippe Giguère 24 6 0 28 Feb 2023
SemPPL: Predicting pseudo-labels for better contrastive representations Matko Bovsnjak Pierre Harvey Richemond Nenad Tomašev Florian Strub Jacob Walker Felix Hill Lars Buesing Razvan Pascanu Charles Blundell Jovana Mitrović SSL VLM 49 9 0 12 Jan 2023
Statistical Physics of Deep Neural Networks: Initialization toward Optimal Channels Kangyu Weng Aohua Cheng Ziyang Zhang Pei Sun Yang Tian 58 2 0 04 Dec 2022
KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles Dominik Filipiak A. Fensel A. Filipowska 40 1 0 06 Nov 2022
Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding Zhichao Yang Shufan Wang Bhanu Pratap Singh Rawat Avijit Mitra Hong-ye Yu 121 49 0 07 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
Cross Vision-RF Gait Re-identification with Low-cost RGB-D Cameras and mmWave Radars Dongjiang Cao Ruofeng Liu Hao Li Shuai Wang Wenchao Jiang Chris Xiaoxuan Lu 21 32 0 16 Jul 2022
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification Kanghao Chen Weixian Lei Rong Zhang Shen Zhao Weishi Zheng Ruixuan Wang OOD 19 20 0 11 Jul 2022
Exploring the Learning Difficulty of Data Theory and Measure Weiyao Zhu Ou Wu Fengguang Su Yingjun Deng 40 5 0 16 May 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 32 12 0 04 Apr 2022
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning Aleksandr Ermolov L. Mirvakhabova Valentin Khrulkov N. Sebe Ivan Oseledets 36 100 0 21 Mar 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning Karsten Roth Oriol Vinyals Zeynep Akata 29 36 0 16 Mar 2022
Cluster Head Detection for Hierarchical UAV Swarm With Graph Self-supervised Learning Zhiyu Mou Jing Liu Xiang Yun Fei Gao Qi-hui Wu 39 2 0 08 Mar 2022
Improving Molecular Representation Learning with Metric Learning-enhanced Optimal Transport Fang Wu Nicolas Courty Shuting Jin Stan Z. Li OOD OT 26 8 0 13 Feb 2022
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives David T. Hoffmann Nadine Behrmann Juergen Gall Thomas Brox M. Noroozi 41 43 0 27 Jan 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
Deep Spatially and Temporally Aware Similarity Computation for Road Network Constrained Trajectories Ziquan Fang Yuntao Du Xinjun Zhu Lu Chen Yunjun Gao Christian S. Jensen AI4TS 32 60 0 17 Dec 2021
Construct Informative Triplet with Two-stage Hard-sample Generation Chuang Zhu Zheng Hu Huihui Dong Gang He Zekuan Yu Shangshang Zhang 36 3 0 04 Dec 2021
GB-CosFace: Rethinking Softmax-based Face Recognition from the Perspective of Open Set Classification Lizhe Liu Mingqiang Chen Xiaohao Chen Siyu Zhu Ping Tan CVBM 19 4 0 22 Nov 2021
Improving Deep Metric Learning by Divide and Conquer A. Sanakoyeu Pingchuan Ma Vadim Tschernezki Bjorn Ommer 42 14 0 09 Sep 2021
A Framework to Enhance Generalization of Deep Metric Learning methods using General Discriminative Feature Learning and Class Adversarial Neural Networks K. Al-Kaabi R. Monsefi Davood Zabihzadeh 33 8 0 11 Jun 2021
Informative and Representative Triplet Selection for Multilabel Remote Sensing Image Retrieval Gencer Sumbul Mahdyar Ravanbakhsh Begüm Demir 24 23 0 08 May 2021
A Strong Baseline for Vehicle Re-Identification Su Huynh Nam-Hoang Nguyen Ngoc-Thanh Nguyen Vinh Nguyen C. Huynh Chuong H. Nguyen 44 33 0 22 Apr 2021
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning Geonmo Gu ByungSoo Ko Han-Gyu Kim 27 36 0 29 Mar 2021
Hierarchical Relationship Alignment Metric Learning Li Gu 17 0 0 28 Mar 2021
Learning Portrait Style Representations Sadat Shaik Bernadette Bucher Nephele Agrafiotis Stephen Phillips Kostas Daniilidis W. Schmenner 16 2 0 08 Dec 2020
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning Simon Ging Mohammadreza Zolfaghari Hamed Pirsiavash Thomas Brox ViT CLIP 31 169 0 01 Nov 2020
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies Yuehua Zhu Muli Yang Cheng Deng Wei Liu 30 55 0 26 Oct 2020
Contrastive Learning with Hard Negative Samples Joshua Robinson Ching-Yao Chuang S. Sra Stefanie Jegelka SSL 75 759 0 09 Oct 2020
Delving into Inter-Image Invariance for Unsupervised Visual Representations Jiahao Xie Xiaohang Zhan Ziwei Liu Yew-Soon Ong Chen Change Loy SSL VLM 21 58 0 26 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 43 124 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
Contextualizing Enhances Gradient Based Meta Learning Evan Vogelbaum Rumen Dangovski L. Jing Marin Soljacic 36 3 0 17 Jul 2020
Calibrated neighborhood aware confidence measure for deep metric learning Maryna Karpusha Sunghee Yun István Fehérvári UQCV FedML 27 2 0 08 Jun 2020
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses Malik Boudiaf Jérôme Rony Imtiaz Masud Ziko Eric Granger M. Pedersoli Pablo Piantanida Ismail Ben Ayed SSL 23 158 0 19 Mar 2020
A Metric Learning Reality Check Kevin Musgrave Serge J. Belongie Ser-Nam Lim 59 475 0 18 Mar 2020