Mining on Manifolds: Metric Learning without Labels

29 March 2018

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

20 / 20 papers shown

Title
$ROG$_{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 58 1 0 28 Feb 2024
Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing Jaeill Kim Duhun Hwang Eunjung Lee Jangwon Suh Jimyeong Kim Wonjong Rhee 33 0 0 11 Jan 2024
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning Thanh Nguyen T. Pham Chaoning Zhang Tung M. Luu Thang Vu Chang D. Yoo 27 9 0 21 Sep 2023
A survey of manifold learning and its applications for multimedia Hannes Fassold 39 1 0 08 Sep 2023
Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning L. P. Valem Daniel Carlos Guimarães Pedronette Longin Jan Latecki 21 5 0 24 Apr 2023
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 36 11 0 11 Aug 2022
Self-Taught Metric Learning without Labels Sungyeon Kim Dongwon Kim Minsu Cho Suha Kwak SSL 21 20 0 04 May 2022
Max-Margin Contrastive Learning Anshul B. Shah S. Sra Ramalingam Chellappa A. Cherian SSL 34 44 0 21 Dec 2021
InsCLR: Improving Instance Retrieval with Self-Supervision Zelu Deng Yujie Zhong Sheng Guo Weilin Huang 28 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 33 0 0 06 Nov 2021
TLDR: Twin Learning for Dimensionality Reduction Yannis Kalantidis Carlos Lassance Jon Almazán Diane Larlus SSL 27 10 0 18 Oct 2021
Improving Deep Metric Learning by Divide and Conquer A. Sanakoyeu Pingchuan Ma Vadim Tschernezki Bjorn Ommer 32 14 0 09 Sep 2021
Exploring Instance Relations for Unsupervised Feature Embedding Yifei Zhang Yu Zhou Weiping Wang 30 6 0 07 May 2021
Knowledge Evolution in Neural Networks Ahmed Taha Abhinav Shrivastava L. Davis 47 21 0 09 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
Hard Negative Mixing for Contrastive Learning Yannis Kalantidis Mert Bulent Sariyildiz Noé Pion Philippe Weinzaepfel Diane Larlus SSL 53 628 0 02 Oct 2020
Deep Manifold Embedding for Hyperspectral Image Classification Z. Gong Weidong Hu Xiaoyong Du P. Zhong Panhe Hu 29 27 0 24 Dec 2019
A Probabilistic approach for Learning Embeddings without Supervision U. Dutta Mehrtash Harandi C. Sekhar SSL 41 0 0 17 Dec 2019
Deep Metric Learning Beyond Binary Supervision Sungyeon Kim Minkyo Seo Ivan Laptev Minsu Cho Suha Kwak SSL 17 94 0 21 Apr 2019
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature Mang Ye Xu-Yao Zhang PongChi Yuen Shih-Fu Chang SSL 30 577 0 06 Apr 2019