Mining on Manifolds: Metric Learning without Labels

29 March 2018

Papers citing "Mining on Manifolds: Metric Learning without Labels"

50 / 56 papers shown

Title
Retrieval Augmented Image Harmonization Haolin Wang Ming-Yu Liu Zifei Yan Chao Zhou Longan Xiao Wangmeng Zuo 136 0 0 18 Dec 2024
GLRT-Based Metric Learning for Remote Sensing Object Retrieval Linping Zhang Yu Liu Xueqian Wang Gang Li You He 73 0 0 08 Oct 2024
Pose-GuideNet: Automatic Scanning Guidance for Fetal Head Ultrasound from Pose Estimation Qianhui Men Xiaoqing Guo A. Papageorghiou J. A. Noble 3DH MedIm 46 0 0 19 Aug 2024
Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes Zelong Zeng Kaname Tomite 82 1 0 27 Apr 2024
Piecewise-Linear Manifolds for Deep Metric Learning Shubhang Bhatnagar Narendra Ahuja 123 4 0 22 Mar 2024
$ROG$_{PL}$: Robust Open-Set Graph Learning via Region-Based Prototype Learning$ ROG $_{PL}$ : Robust Open-Set Graph Learning via Region-Based Prototype Learning Qin Zhang Xiaowei Li Jiexin Lu Liping Qiu Shirui Pan Xiaojun Chen Junyang Chen 95 1 0 28 Feb 2024
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications Zhen Yang Ming Ding Tinglin Huang Yukuo Cen Junshuai Song Bin Xu Yuxiao Dong Jie Tang 124 12 0 27 Feb 2024
Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing Jaeill Kim Duhun Hwang Eunjung Lee Jangwon Suh Jimyeong Kim Wonjong Rhee 53 0 0 11 Jan 2024
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning B. U. Demirel Christian Holz AI4TS 91 22 0 23 Sep 2023
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning Thanh Nguyen T. Pham Chaoning Zhang Tung M. Luu Thang Vu Chang D. Yoo 115 10 0 21 Sep 2023
A survey of manifold learning and its applications for multimedia Hannes Fassold 88 1 0 08 Sep 2023
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals Hyewon Jeong Collin M. Stultz Marzyeh Ghassemi 66 4 0 09 Aug 2023
Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning L. P. Valem Daniel Carlos Guimarães Pedronette Longin Jan Latecki 60 5 0 24 Apr 2023
Unicom: Universal and Compact Representation Learning for Image Retrieval Xiang An Jiankang Deng Kaicheng Yang Jaiwei Li Ziyong Feng Jia Guo Jing Yang Tongliang Liu VLM SSL 97 28 0 12 Apr 2023
Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data Anna Kukleva Moritz Bohle Bernt Schiele Hilde Kuehne Christian Rupprecht 94 45 0 23 Mar 2023
Global Contrastive Batch Sampling via Optimization on Sample Permutations Vin Sachidananda Ziyi Yang Chenguang Zhu 66 6 0 23 Oct 2022
Contrastive Bayesian Analysis for Deep Metric Learning Shichao Kan Zhiquan He Yigang Cen Yang Li Mladenovic Vladimir Z. He 80 19 0 10 Oct 2022
Instance Image Retrieval by Learning Purely From Within the Dataset Zhongyan Zhang Lei Wang Yang Wang Luping Zhou Jianjia Zhang Peng Wang Fangxiao Chen SSL 47 0 0 12 Aug 2022
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning T. Pham Chaoning Zhang Axi Niu Kang Zhang Chang D. Yoo 82 11 0 11 Aug 2022
Contrastive Multi-view Hyperbolic Hierarchical Clustering Fang-Yu Lin Bing Bai Kun Bai Yazhou Ren Peng Zhao Zenglin Xu 45 34 0 05 May 2022
Self-Taught Metric Learning without Labels Sungyeon Kim Dongwon Kim Minsu Cho Suha Kwak SSL 105 21 0 04 May 2022
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo Chaoning Zhang Kang Zhang T. Pham Axi Niu Zhinan Qiao Chang D. Yoo In So Kweon 117 57 0 30 Mar 2022
Integrating Language Guidance into Vision-based Deep Metric Learning Karsten Roth Oriol Vinyals Zeynep Akata VLM 55 29 0 16 Mar 2022
Max-Margin Contrastive Learning Anshul B. Shah S. Sra Ramalingam Chellappa A. Cherian SSL 84 46 0 21 Dec 2021
DeepDiffusion: Unsupervised Learning of Retrieval-adapted Representations via Diffusion-based Ranking on Latent Feature Manifold T. Furuya Ryutarou Ohbuchi DiffM 76 1 0 14 Dec 2021
InsCLR: Improving Instance Retrieval with Self-Supervision Zelu Deng Yujie Zhong Sheng Guo Weilin Huang 106 13 0 02 Dec 2021
Towards noise robust trigger-word detection with contrastive learning pre-task for fast on-boarding of new trigger-words S. Balasubramanian Aditya Jajodia Gowtham Srinivasan CLIP 83 0 0 06 Nov 2021
TLDR: Twin Learning for Dimensionality Reduction Yannis Kalantidis Carlos Lassance Jon Almazán Diane Larlus SSL 77 11 0 18 Oct 2021
Improving Deep Metric Learning by Divide and Conquer A. Sanakoyeu Pingchuan Ma Vadim Tschernezki Bjorn Ommer 95 14 0 09 Sep 2021
Unsupervised Embedding Learning from Uncertainty Momentum Modeling Jiahuan Zhou Yansong Tang Fuchun Sun Ying Nian Wu 42 1 0 19 Jul 2021
Exploring Instance Relations for Unsupervised Feature Embedding Yifei Zhang Yu Zhou Weiping Wang 71 6 0 07 May 2021
Knowledge Evolution in Neural Networks Ahmed Taha Abhinav Shrivastava L. Davis 87 22 0 09 Mar 2021
Improving memory banks for unsupervised learning with large mini-batch, consistency and hard negative mining Adrian Bulat Enrique Sánchez-Lozano Georgios Tzimiropoulos 75 5 0 08 Feb 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 69 151 0 27 Jan 2021
A Unified Mixture-View Framework for Unsupervised Representation Learning Xiangxiang Chu Xiaohang Zhan Bo Zhang SSL 54 1 0 26 Nov 2020
View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose Ting Liu Jennifer J. Sun Long Zhao Jiaping Zhao Liangzhe Yuan Yuxiao Wang Liang-Chieh Chen Florian Schroff Hartwig Adam 95 16 0 23 Oct 2020
Hard Negative Mixing for Contrastive Learning Yannis Kalantidis Mert Bulent Sariyildiz Noé Pion Philippe Weinzaepfel Diane Larlus SSL 156 648 0 02 Oct 2020
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding Binh X. Nguyen Binh Duc Nguyen G. Carneiro Erman Tjiputra Quang-Dieu Tran Thanh-Toan Do 76 10 0 09 Sep 2020
Learning to Learn in a Semi-Supervised Fashion Yun-Chun Chen Chao-Te Chou Y. Wang SSL 94 6 0 25 Aug 2020
Unsupervised Deep Metric Learning via Orthogonality based Probabilistic Loss U. Dutta Mehrtash Harandi C. Sekhar SSL 41 16 0 22 Aug 2020
Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss Yongqian Li Shichao Kan Zhihai He SSL 62 24 0 10 Aug 2020
Asymmetric metric learning for knowledge transfer Mateusz Budnik Yannis Avrithis 69 35 0 29 Jun 2020
TCDesc: Learning Topology Consistent Descriptors Honghu Pan Fanyang Meng Zhenyu He Yongsheng Liang Wei Liu 33 0 0 05 Jun 2020
Unsupervised Person Re-identification via Multi-label Classification Dongkai Wang Shiliang Zhang 81 364 0 20 Apr 2020
Deep Manifold Embedding for Hyperspectral Image Classification Z. Gong Weidong Hu Xiaoyong Du P. Zhong Panhe Hu 79 28 0 24 Dec 2019
A Probabilistic approach for Learning Embeddings without Supervision U. Dutta Mehrtash Harandi C. Sekhar SSL 89 0 0 17 Dec 2019
View-Invariant Probabilistic Embedding for Human Pose Jennifer J. Sun Jiaping Zhao Liang-Chieh Chen Florian Schroff Hartwig Adam Ting Liu 136 77 0 02 Dec 2019
Unsupervised Deep Metric Learning via Auxiliary Rotation Loss Xuefei Cao Bor-Chun Chen Ser-Nam Lim SSL 57 19 0 16 Nov 2019
MIC: Mining Interclass Characteristics for Improved Metric Learning Karsten Roth Biagio Brattoli Bjorn Ommer 84 90 0 25 Sep 2019
Divide and Conquer the Embedding Space for Metric Learning A. Sanakoyeu Vadim Tschernezki U. Büchler Bjorn Ommer SSL 86 107 0 14 Jun 2019