Potential Field Based Deep Metric Learning

28 May 2024

Papers citing "Potential Field Based Deep Metric Learning"

40 / 40 papers shown

Title
Improving Multi-label Recognition using Class Co-Occurrence Probabilities Samyak Rawlekar Shubhang Bhatnagar Vishnuvardhan Pogunulu Srinivasulu Narendra Ahuja VLM 96 6 0 24 Apr 2024
Piecewise-Linear Manifolds for Deep Metric Learning Shubhang Bhatnagar Narendra Ahuja 100 4 0 22 Mar 2024
HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization Sungyeon Kim Boseung Jung Suha Kwak 48 17 0 29 Dec 2022
Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization Christopher Liao Theodoros Tsiligkaridis Brian Kulis SSL 61 7 0 04 Oct 2022
A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning Michael Kirchhof Karsten Roth Zeynep Akata Enkelejda Kasneci 62 13 0 08 Jul 2022
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning Aleksandr Ermolov L. Mirvakhabova Valentin Khrulkov N. Sebe Ivan Oseledets 63 104 0 21 Mar 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning Karsten Roth Oriol Vinyals Zeynep Akata 82 39 0 16 Mar 2022
Deep Relational Metric Learning Wenzhao Zheng Borui Zhang Jiwen Lu Jie Zhou 73 43 0 23 Aug 2021
Deep Metric Learning for Open World Semantic Segmentation Jun Cen Peng Yun Junhao Cai M. Y. Wang Ming-Yuan Liu 47 85 0 10 Aug 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 685 6,079 0 29 Apr 2021
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies Yuehua Zhu Muli Yang Cheng Deng Wei Liu 71 56 0 26 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 654 41,103 0 22 Oct 2020
Rethinking preventing class-collapsing in metric learning with margin-based losses Elad Levi Tete Xiao Xiaolong Wang Trevor Darrell 29 14 0 09 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 92 66 0 28 Apr 2020
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis Eu Wern Teh Terrance Devries Graham W. Taylor 63 158 0 02 Apr 2020
Proxy Anchor Loss for Deep Metric Learning Sungyeon Kim Dongwon Kim Minsu Cho Suha Kwak 61 357 0 31 Mar 2020
A Metric Learning Reality Check Kevin Musgrave Serge J. Belongie Ser-Nam Lim 134 477 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 165 130 0 03 Mar 2020
Circle Loss: A Unified Perspective of Pair Similarity Optimization Yifan Sun Changmao Cheng Yuhan Zhang Chi Zhang Liang Zheng Zhongdao Wang Yichen Wei 86 858 0 25 Feb 2020
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning Karsten Roth Timo Milbich Samarth Sinha Prateek Gupta Bjorn Ommer Joseph Paul Cohen 56 170 0 19 Feb 2020
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling Qi Qian Lei Shang Baigui Sun Juhua Hu Hao Li Rong Jin 66 374 0 11 Sep 2019
Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning Xun Wang Xintong Han Weilin Huang Dengke Dong Matthew R. Scott 77 750 0 14 Apr 2019
Improved Embeddings with Easy Positive Triplet Mining Hong Xuan Abby Stylianou Robert Pless 76 134 0 08 Apr 2019
Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning Tongtong Yuan Weihong Deng Jian Tang Yinan Tang Binghui Chen 44 71 0 04 Apr 2019
The Importance of Metric Learning for Robotic Vision: Open Set Recognition and Active Learning Benjamin J. Meyer Tom Drummond 40 33 0 27 Feb 2019
Deep Metric Learning with Hierarchical Triplet Loss Weifeng Ge Weilin Huang Dengke Dong Matthew R. Scott 169 413 0 16 Oct 2018
CosFace: Large Margin Cosine Loss for Deep Face Recognition Haobo Wang Yitong Wang Zheng Zhou Xing Ji Dihong Gong Jin Zhou Zhifeng Li Wei Liu CVBM MQ 130 2,507 0 29 Jan 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 295 4,050 0 16 Nov 2017
Sampling Matters in Deep Embedding Learning Chaoxia Wu R. Manmatha Alex Smola Philipp Krahenbuhl 95 923 0 23 Jun 2017
SphereFace: Deep Hypersphere Embedding for Face Recognition Weiyang Liu Yandong Wen Zhiding Yu Ming Li Bhiksha Raj Le Song CVBM 232 2,801 0 26 Apr 2017
Beyond triplet loss: a deep quadruplet network for person re-identification Weihua Chen Xiaotang Chen Jianguo Zhang Kaiqi Huang 87 1,140 0 06 Apr 2017
Smart Mining for Deep Metric Learning Ben Harwood B. V. Kumar G. Carneiro Ian Reid Tom Drummond 57 350 0 05 Apr 2017
No Fuss Distance Metric Learning using Proxies Yair Movshovitz-Attias Alexander Toshev Thomas Leung Sergey Ioffe Saurabh Singh 85 641 0 21 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 300 8,134 0 15 Mar 2017
Hard-Aware Deeply Cascaded Embedding Yuhui Yuan Kuiyuan Yang Chao Zhang 91 302 0 17 Nov 2016
Joint Detection and Identification Feature Learning for Person Search Tong Xiao Shuang Li Bochao Wang Liang Lin Xiaogang Wang 101 823 0 07 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Deep Metric Learning via Lifted Structured Feature Embedding Hyun Oh Song Yu Xiang Stefanie Jegelka Silvio Savarese FedML SSL DML 94 1,643 0 19 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 370 13,145 0 12 Mar 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 465 43,658 0 17 Sep 2014