Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning

14 April 2019

Papers citing "Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning"

50 / 117 papers shown

Title
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition Saptarshi Sinha Hiroki Ohashi 19 6 0 07 Sep 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 Zhilin Wang Shiníchi Satoh FedML 35 1 0 17 Jun 2022
Guided Deep Metric Learning Jorge Gonzalez-Zapata Iván Reyes-Amezcua Daniel Flores-Araiza M. Mendez-Ruiz G. Ochoa-Ruiz Andres Mendez-Vazquez FedML 24 5 0 04 Jun 2022
Contrastive Supervised Distillation for Continual Representation Learning Tommaso Barletti Niccoló Biondi F. Pernici Matteo Bruni A. Bimbo CLL 21 7 0 11 May 2022
Self-Taught Metric Learning without Labels Sungyeon Kim Dongwon Kim Minsu Cho Suha Kwak SSL 16 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 24 12 0 04 Apr 2022
Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations Sihang Zeng Zheng Yuan Sheng Yu 8 4 0 01 Apr 2022
Attributable Visual Similarity Learning Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu 22 17 0 28 Mar 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning Natalie Dullerud Karsten Roth Kimia Hamidieh Nicolas Papernot Marzyeh Ghassemi 30 15 0 23 Mar 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
Unified Negative Pair Generation toward Well-discriminative Feature Space for Face Recognition Junuk Jung Seon-Hoon Lee Heung‐Seon Oh Yongjun Park Joochan Park Sungbin Son CVBM 21 5 0 22 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
Modulated Contrast for Versatile Image Synthesis Fangneng Zhan Jiahui Zhang Yingchen Yu Rongliang Wu Shijian Lu 35 43 0 17 Mar 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning Karsten Roth Oriol Vinyals Zeynep Akata 24 36 0 16 Mar 2022
Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training J. Komorowski 3DPC 27 62 0 02 Mar 2022
Graph Neural Network for Cell Tracking in Microscopy Videos Tal Ben-Haim Tammy Riklin-Raviv 24 28 0 09 Feb 2022
Dissecting the impact of different loss functions with gradient surgery Hong Xuan Robert Pless 20 1 0 27 Jan 2022
Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime Prarthana Bhattacharyya Chenge Li Xiaonan Zhao István Fehérvári Jason Sun ViT 34 2 0 22 Jan 2022
Eye Know You Too: A DenseNet Architecture for End-to-end Eye Movement Biometrics D. Lohr Oleg V. Komogortsev 25 4 0 05 Jan 2022
Multi-Head Deep Metric Learning Using Global and Local Representations M. K. Ebrahimpour Gang Qian Allison Beach 21 8 0 28 Dec 2021
Cross Modal Retrieval with Querybank Normalisation Simion-Vlad Bogolin Ioana Croitoru Hailin Jin Yang Liu Samuel Albanie 27 84 0 23 Dec 2021
Modality-Aware Triplet Hard Mining for Zero-shot Sketch-Based Image Retrieval Zongheng Huang YiFan Sun Chuchu Han Changxin Gao Nong Sang 30 6 0 15 Dec 2021
Full-attention based Neural Architecture Search using Context Auto-regression Yuan Zhou Haiyang Wang Shuwei Huo Boyu Wang 27 3 0 13 Nov 2021
Supervised Metric Learning for Music Structure Features Ju-Chiang Wang Jordan B. L. Smith Weiyi Lu Xuchen Song 19 17 0 18 Oct 2021
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding Jasmine Collins Shubham Goel Kenan Deng Achleshwar Luthra Leon L. Xu ... T. F. Y. Vicente T. Dideriksen H. Arora M. Guillaumin Jitendra Malik 154 217 0 12 Oct 2021
Instance-Based Neural Dependency Parsing Hiroki Ouchi Jun Suzuki Sosuke Kobayashi Sho Yokoi Tatsuki Kuribayashi Masashi Yoshikawa Kentaro Inui 32 3 0 28 Sep 2021
Hard-sample Guided Hybrid Contrast Learning for Unsupervised Person Re-Identification Zheng Hu Chuang Zhu Gang He SSL 52 37 0 25 Sep 2021
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models Ivan Vulić Pei-hao Su Sam Coope D. Gerz Paweł Budzianowski I. Casanueva Nikola Mrkvsić Tsung-Hsien Wen 24 36 0 21 Sep 2021
A Decidability-Based Loss Function Pedro H. L. Silva Gladston J. P. Moreira Vander L. S. Freitas Rodrigo Silva David Menotti Eduardo José da S. Luz CVBM 22 0 0 12 Sep 2021
Improving Deep Metric Learning by Divide and Conquer A. Sanakoyeu Pingchuan Ma Vadim Tschernezki Bjorn Ommer 29 14 0 09 Sep 2021
Recall@k Surrogate Loss with Large Batches and Similarity Mixup Yash J. Patel Giorgos Tolias Jirí Matas VLM 39 54 0 25 Aug 2021
Understanding and Mitigating Annotation Bias in Facial Expression Recognition Yunliang Chen Jungseock Joo CVBM 29 81 0 19 Aug 2021
ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer Boseung Jeong Jicheol Park Suha Kwak 63 21 0 10 Aug 2021
Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation Shengsen Wu Liang Chen Yihang Lou Yan Bai Tao Bai Minghua Deng Ling-yu Duan 24 8 0 07 Aug 2021
SphereFace2: Binary Classification is All You Need for Deep Face Recognition Yandong Wen Weiyang Liu Adrian Weller Bhiksha Raj Rita Singh CVBM MQ 24 53 0 03 Aug 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 31 8 0 11 Jun 2021
It Takes Two to Tango: Mixup for Deep Metric Learning Shashanka Venkataramanan Bill Psomas Ewa Kijak Laurent Amsaleg Konstantinos Karantzalos Yannis Avrithis 20 25 0 09 Jun 2021
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization Taiki Miyagawa Akinori F. Ebihara 22 3 0 28 May 2021
Contrastive Attraction and Contrastive Repulsion for Representation Learning Huangjie Zheng Xu Chen Jiangchao Yao Hongxia Yang Chunyuan Li Ya-Qin Zhang Hao Zhang Ivor Tsang Jingren Zhou Mingyuan Zhou SSL 42 12 0 08 May 2021
Informative and Representative Triplet Selection for Multilabel Remote Sensing Image Retrieval Gencer Sumbul Mahdyar Ravanbakhsh Begüm Demir 19 23 0 08 May 2021
VeriMedi: Pill Identification using Proxy-based Deep Metric Learning and Exact Solution Tekin Evrim Ozmermer Viktors Roze Stanislavs Hilcuks A. Neščerecka MedIm 19 2 0 22 Apr 2021
Eye Know You: Metric Learning for End-to-end Biometric Authentication Using Eye Movements from a Longitudinal Dataset D. Lohr Henry K. Griffith Oleg V. Komogortsev 37 29 0 21 Apr 2021
SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis Pranav Maneriker Yuntian He Srinivas Parthasarathy 26 9 0 01 Apr 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning Tyler R. Scott Andrew C. Gallagher Michael C. Mozer 25 39 0 29 Mar 2021
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning Geonmo Gu ByungSoo Ko Han-Gyu Kim 21 36 0 29 Mar 2021
QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval Xiaodan Li Jinfeng Li YueFeng Chen Shaokai Ye Yuan He Shuhui Wang Hang Su Hui Xue 16 44 0 04 Mar 2021
Deep Learning for Instance Retrieval: A Survey Wei Chen Yu Liu Weiping Wang E. Bakker Theodoros Georgiou Paul Fieguth Li Liu M. Lew VLM 11 145 0 27 Jan 2021
Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition Raphael Memmesheimer Simon Häring Nick Theisen Dietrich Paulus 32 36 0 26 Dec 2020
Iterative label cleaning for transductive and semi-supervised few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 40 61 0 14 Dec 2020