Deep Metric Learning with Angular Loss

4 August 2017

Papers citing "Deep Metric Learning with Angular Loss"

50 / 94 papers shown

Title
Privacy-Preserving Biometric Verification with Handwritten Random Digit String Peirong Zhang Yunxing Liu Songxuan Lai Hongliang Li Lianwen Jin 76 2 0 17 Mar 2025
YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Iñaki Erregue Kamal Nasrollahi Sergio Escalera VOT 65 0 0 23 Jan 2025
Advancing Brainwave-Based Biometrics: A Large-Scale, Multi-Session Evaluation Matin Fallahi Patricia Arias-Cabarcos Thorsten Strufe 41 0 0 14 Jan 2025
Towards Fine-Grained Webpage Fingerprinting at Scale Xiyuan Zhao Xinhao Deng Qi Li Yunpeng Liu Zhuotao Liu Kun Sun Ke Xu 53 2 0 06 Sep 2024
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation Shilong Bao Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 58 5 0 02 Sep 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling Yun Yue Fangzhou Lin Guanyi Mou Ziming Zhang SSL 37 1 0 23 Apr 2024
Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval Qiwei Tian Chenhao Lin Zhengyu Zhao Qian Li Chao Shen 34 2 0 12 Dec 2023
Coloring Deep CNN Layers with Activation Hue Loss Louis-Franccois Bouchard Mohsen Ben Lazreg Matthew Toews LLMSV 35 0 0 05 Oct 2023
Coarse-to-Fine: Learning Compact Discriminative Representation for Single-Stage Image Retrieval Yunquan Zhu Xinkai Gao Bo Ke Ruizhi Qiao Xing Sun 29 4 0 08 Aug 2023
A metric learning approach for endoscopic kidney stone identification Jorge Gonzalez-Zapata F. Lopez-Tiro Elias Villalvazo-Avila Daniel Flores-Araiza Jacques Hubert Andres Mendez-Vazquez G. Ochoa-Ruiz C. Daul 38 4 0 13 Jul 2023
Black Box Few-Shot Adaptation for Vision-Language models Yassine Ouali Adrian Bulat Brais Martínez Georgios Tzimiropoulos VLM 39 31 0 04 Apr 2023
Learning Generalized Hybrid Proximity Representation for Image Recognition Zhiyuan Li Anca L. Ralescu 28 3 0 31 Jan 2023
Are Labels Needed for Incremental Instance Learning? Mert Kilickaya Joaquin Vanschoren CLL SSL 50 1 0 26 Jan 2023
Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network Iordanis Fostiropoulos Laurent Itti 45 1 0 26 Nov 2022
Learning Deep Optimal Embeddings with Sinkhorn Divergences S. Roy Yan Han Mehrtash Harandi L. Petersson 25 0 0 14 Sep 2022
Semi-supervised Crowd Counting via Density Agency Hui Lin Zhiheng Ma Xiaopeng Hong Yao Wang Zhou Su OT 23 29 0 07 Sep 2022
Attention-based Dynamic Subspace Learners for Medical Image Analysis V. SukeshAdiga Jose Dolz H. Lombaert 23 1 0 18 Jun 2022
U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers Louis-Franccois Bouchard Mohsen Ben Lazreg Matthew Toews 36 0 0 05 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 37 5 0 04 Jun 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning Da-Wei Zhou Qiwen Wang Han-Jia Ye De-Chuan Zhan 33 124 0 26 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
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 37 15 0 23 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
Where Does the Performance Improvement Come From? -- A Reproducibility Concern about Image-Text Retrieval Jun Rao Fei-Yue Wang Liang Ding Shuhan Qi Yibing Zhan Weifeng Liu Dacheng Tao OOD 42 28 0 08 Mar 2022
STUN: Self-Teaching Uncertainty Estimation for Place Recognition Kaiwen Cai Chris Xiaoxuan Lu Xiaowei Huang 31 11 0 03 Mar 2022
BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension Task Maria Mahbub Sudarshan Srinivasan Edmon Begoli Gregory D. Peterson 29 11 0 26 Feb 2022
HSADML: Hyper-Sphere Angular Deep Metric based Learning for Brain Tumor Classification Aman Verma V. Singh 16 3 0 28 Jan 2022
Basket-based Softmax Qiang Meng Xinqian Gu Xiaqing Xu F. Zhou 17 2 0 23 Jan 2022
Graph attentive feature aggregation for text-independent speaker verification Hye-jin Shim Ju-Sung Heo Jae-han Park Gareth Lee Ha-Jin Yu 37 16 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
QMagFace: Simple and Accurate Quality-Aware Face Recognition Philipp Terhörst Malte Ihlefeld Marco Huber Naser Damer Florian Kirchbuchner Kiran Raja Arjan Kuijper CVBM 35 52 0 26 Nov 2021
Improving Deep Metric Learning by Divide and Conquer A. Sanakoyeu Pingchuan Ma Vadim Tschernezki Bjorn Ommer 42 14 0 09 Sep 2021
Recall@k Surrogate Loss with Large Batches and Similarity Mixup Yash J. Patel Giorgos Tolias Jirí Matas VLM 44 54 0 25 Aug 2021
Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation Hyun-Joo Jung Eunhyeok Park S. Yoo MDE 36 109 0 19 Aug 2021
DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features Min Yang Dongliang He M. Fan Baorong Shi Xuetong Xue Fu Li Errui Ding Jizhou Huang 55 94 0 06 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
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation Xiangrong Zhang Zelin Peng Peng Zhu Tianyang Zhang Chen Li Huiyu Zhou L. Jiao CLL 37 46 0 03 Aug 2021
Online Hashing with Similarity Learning Zhenyu Weng Yuesheng Zhu 19 0 0 04 Jul 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
Contrastive Fine-tuning Improves Robustness for Neural Rankers Xiaofei Ma Cicero Nogueira dos Santos Andrew O. Arnold 23 20 0 27 May 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning Tyler R. Scott Andrew C. Gallagher Michael C. Mozer 29 39 0 29 Mar 2021
Hierarchical Relationship Alignment Metric Learning Li Gu 19 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
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval Frederik Warburg Martin Jørgensen Javier Civera Søren Hauberg UQCV 31 36 0 25 Nov 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
DML-GANR: Deep Metric Learning With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval Yun Cao Yuebin Wang Junhuan Peng Liqiang Zhang Linlin Xu Kai Yan Lihua Li GAN 26 22 0 07 Oct 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
Deep multi-metric learning for text-independent speaker verification Jiwei Xu Xinggang Wang Bin Feng Wenyu Liu 49 25 0 17 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning Evan Vogelbaum Rumen Dangovski L. Jing Marin Soljacic 36 3 0 17 Jul 2020