Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments

17 May 2021

Papers citing "Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments"

37 / 37 papers shown

Title
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning Long Zhou Fereshteh Shakeri Aymen Sadraoui Mounir Kaaniche J. Pesquet Ismail Ben Ayed VLM 132 0 0 21 Dec 2024
A Comprehensive Review of Few-shot Action Recognition Yuyang Wanyan Xiaoshan Yang Weiming Dong Changsheng Xu VLM 122 3 0 20 Jul 2024
Few-Shot Classification with Contrastive Learning Zhanyuan Yang Jinghua Wang Ying J. Zhu OODD MQ 88 57 0 17 Sep 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification Jiangtao Xie Fei Long Jiaming Lv Qilong Wang P. Li 56 166 0 09 Apr 2022
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 70 88 0 16 Jul 2021
Cross-domain Few-shot Learning with Task-specific Adapters Weihong Li Xialei Liu Hakan Bilen OOD 72 115 0 01 Jul 2021
Universal Representation Learning from Multiple Domains for Few-shot Classification Weihong Li Xialei Liu Hakan Bilen SSL OOD VLM 70 87 0 25 Mar 2021
What Should Not Be Contrastive in Contrastive Learning Tete Xiao Xiaolong Wang Alexei A. Efros Trevor Darrell SSL DRL 67 302 0 13 Aug 2020
Semi-Siamese Training for Shallow Face Learning Hang Du Hailin Shi Yuchi Liu Jun Wang Zhen Lei Dan Zeng Tao Mei CVBM 3DH 84 27 0 16 Jul 2020
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates Jeff Calder Brendan Cook Matthew Thorpe D. Slepčev 62 82 0 19 Jun 2020
A Concise Review of Recent Few-shot Meta-learning Methods Xiaoxu Li Z. Sun Jing-Hao Xue Zhanyu Ma VLM OffRL 90 130 0 22 May 2020
DPGN: Distribution Propagation Graph Network for Few-shot Learning Ling Yang Liang Li Zilun Zhang Xinyu Zhou Erjin Zhou Yu Liu 54 208 0 31 Mar 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification Bin Liu Yue Cao Yutong Lin Qi Li Zheng Zhang Mingsheng Long Han Hu 80 322 0 26 Mar 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation Hung-Yu Tseng Hsin-Ying Lee Jia-Bin Huang Ming-Hsuan Yang 72 391 0 23 Jan 2020
Deep Learning for Person Re-identification: A Survey and Outlook Mang Ye Jianbing Shen Gaojie Lin Tao Xiang Ling Shao Guosheng Lin 83 1,571 0 13 Jan 2020
A Two-Stage Approach to Few-Shot Learning for Image Recognition Debasmit Das C. S. George Lee 75 126 0 10 Dec 2019
Improved Few-Shot Visual Classification Peyman Bateni Raghav Goyal Vaden Masrani Frank Wood Leonid Sigal VLM 66 231 0 07 Dec 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes James Requeima Jonathan Gordon J. Bronskill Sebastian Nowozin Richard Turner 66 242 0 18 Jun 2019
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning Huaiyu Li Weiming Dong Xing Mei Chongyang Ma Feiyue Huang Bao-Gang Hu OffRL 70 98 0 15 May 2019
Edge-labeling Graph Neural Network for Few-shot Learning Jongmin Kim Taesup Kim Sungwoong Kim Chang D. Yoo 83 457 0 04 May 2019
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 136 1,156 0 10 Apr 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 81 1,809 0 10 Apr 2019
Few-Shot Learning via Saliency-guided Hallucination of Samples Hongguang Zhang Jing Zhang Piotr Koniusz 79 202 0 06 Apr 2019
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 117 662 0 10 Dec 2018
Meta-Transfer Learning for Few-Shot Learning Qianru Sun Yaoyao Liu Tat-Seng Chua Bernt Schiele 199 1,068 0 06 Dec 2018
Meta-learning with differentiable closed-form solvers Luca Bertinetto João F. Henriques Philip Torr Andrea Vedaldi ODL 80 928 0 21 May 2018
Dynamic Few-Shot Visual Learning without Forgetting Spyros Gidaris N. Komodakis VLM 59 1,129 0 25 Apr 2018
The Effectiveness of Data Augmentation in Image Classification using Deep Learning Luis Perez Jason Wang 74 2,782 0 13 Dec 2017
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 248 4,042 0 16 Nov 2017
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 129 1,070 0 12 Nov 2017
Few-Shot Learning with Graph Neural Networks Victor Garcia Satorras Joan Bruna GNN 167 1,239 0 10 Nov 2017
Learning to Compose Domain-Specific Transformations for Data Augmentation Alexander J. Ratner Henry R. Ehrenberg Zeshan Hussain Jared A. Dunnmon Christopher Ré 66 349 0 06 Sep 2017
A Unified approach for Conventional Zero-shot, Generalized Zero-shot and Few-shot Learning Shafin Rahman Salman H. Khan Fatih Porikli 74 175 0 27 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 798 11,866 0 09 Mar 2017
Learning from Simulated and Unsupervised Images through Adversarial Training A. Shrivastava Tomas Pfister Oncel Tuzel J. Susskind Wenda Wang Russ Webb GAN 88 1,800 0 22 Dec 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 331 7,313 0 13 Jun 2016
Recent Advances in Convolutional Neural Networks Jiuxiang Gu Zhenhua Wang Jason Kuen Lianyang Ma Amir Shahroudy ... Xingxing Wang Li Wang Gang Wang Jianfei Cai Tsuhan Chen 153 5,198 0 22 Dec 2015