Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning

5 October 2019

Limeng Qiao

Yemin Shi

Jia Li

Yaowei Wang

Tiejun Huang

Yonghong Tian

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Papers citing "Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning"

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Title
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification Dong Lee Sae-Young Chung 29 20 0 22 Jun 2021
Transductive Few-Shot Learning: Clustering is All You Need? Imtiaz Masud Ziko Malik Boudiaf Jose Dolz Eric Granger Ismail Ben Ayed 22 3 0 16 Jun 2021
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments Xiaoxu Li Xiaochen Yang Zhanyu Ma Jing-Hao Xue VLM 43 117 0 17 May 2021
Diffusion Mechanism in Residual Neural Network: Theory and Applications Tangjun Wang Zehao Dou Chenglong Bao Zuoqiang Shi DiffM 22 7 0 07 May 2021
Effectively Leveraging Attributes for Visual Similarity Samarth Mishra Zhongping Zhang Yuan-Chung Shen Ranjitha Kumar Venkatesh Saligrama Bryan A. Plummer 13 10 0 04 May 2021
Few-Cost Salient Object Detection with Adversarial-Paced Learning Dingwen Zhang Haibin Tian Jungong Han 9 70 0 05 Apr 2021
Hypercorrelation Squeeze for Few-Shot Segmentation Juhong Min Dahyun Kang Minsu Cho 34 288 0 04 Apr 2021
Embedding Transfer with Label Relaxation for Improved Metric Learning Sungyeon Kim Dongwon Kim Minsu Cho Suha Kwak 32 32 0 27 Mar 2021
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning Baoquan Zhang Xutao Li Shanshan Feng Yunming Ye Rui Ye 27 42 0 26 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve Salman Khan Fahad Shahbaz Khan M. Shah 41 109 0 01 Mar 2021
CORL: Compositional Representation Learning for Few-Shot Classification Ju He Adam Kortylewski Alan Yuille OCL 40 9 0 28 Jan 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning Yizhao Gao Nanyi Fei Guangzhen Liu Zhiwu Lu Tao Xiang Songfang Huang 61 35 0 23 Jan 2021
Local Propagation for Few-Shot Learning Yann Lifchitz Yannis Avrithis Sylvaine Picard 32 9 0 05 Jan 2021
Spatial Contrastive Learning for Few-Shot Classification Yassine Ouali C´eline Hudelot Myriam Tami 19 49 0 26 Dec 2020
On Episodes, Prototypical Networks, and Few-shot Learning Steinar Laenen Luca Bertinetto 20 97 0 17 Dec 2020
Iterative label cleaning for transductive and semi-supervised few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 44 61 0 14 Dec 2020
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? Malik Boudiaf H. Kervadec Imtiaz Masud Ziko Pablo Piantanida Ismail Ben Ayed Jose Dolz VLM 177 188 0 11 Dec 2020
Fine-grained Angular Contrastive Learning with Coarse Labels Guy Bukchin Eli Schwartz Kate Saenko Ori Shahar Rogerio Feris Raja Giryes Leonid Karlinsky 41 52 0 07 Dec 2020
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification Xiaoxu Li Jijie Wu Z. Sun Zhanyu Ma Jie Cao Jing-Hao Xue 21 126 0 29 Nov 2020
Mixture-based Feature Space Learning for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 18 70 0 24 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 17 2 0 19 Nov 2020
Function Contrastive Learning of Transferable Meta-Representations Muhammad Waleed Gondal S. Joshi Nasim Rahaman Stefan Bauer Manuel Wüthrich Bernhard Schölkopf SSL 18 19 0 14 Oct 2020
Variational Feature Disentangling for Fine-Grained Few-Shot Classification Jingyi Xu Hieu M. Le Mingzhen Huang ShahRukh Athar Dimitris Samaras DRL 11 52 0 07 Oct 2020
Few-shot Learning with LSSVM Base Learner and Transductive Modules Haoqing Wang Zhihong Deng 14 1 0 12 Sep 2020
Transductive Information Maximization For Few-Shot Learning Malik Boudiaf Imtiaz Masud Ziko Jérôme Rony José Dolz Pablo Piantanida Ismail Ben Ayed VLM 20 77 0 25 Aug 2020
Cooperative Bi-path Metric for Few-shot Learning Zeyuan Wang Yifan Zhao Jia Li Yonghong Tian 21 35 0 10 Aug 2020
How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning Yikai Wang Li Zhang Yuan Yao Yanwei Fu 40 43 0 15 Jul 2020
Attentive Graph Neural Networks for Few-Shot Learning Hao Cheng Qiufeng Wang Wee Peng Tay Bihan Wen 22 13 0 14 Jul 2020
Laplacian Regularized Few-Shot Learning Imtiaz Masud Ziko Jose Dolz Eric Granger Ismail Ben Ayed 19 176 0 28 Jun 2020
Graph Prototypical Networks for Few-shot Learning on Attributed Networks Kaize Ding Jianling Wang Jundong Li Kai Shu Chenghao Liu Huan Liu 25 156 0 23 Jun 2020
Self-supervised Knowledge Distillation for Few-shot Learning Jathushan Rajasegaran Salman Khan Munawar Hayat Fahad Shahbaz Khan M. Shah SSL 31 91 0 17 Jun 2020
Enhancing Few-Shot Image Classification with Unlabelled Examples Peyman Bateni Jarred Barber Jan-Willem van de Meent Frank Wood VLM SSL 37 55 0 17 Jun 2020
Smooth Proxy-Anchor Loss for Noisy Metric Learning Carlos Roig David Varas Issey Masuda J. C. Riveiro Elisenda Bou NoLa 19 3 0 09 Jun 2020
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing Yixiong Zou Shanghang Zhang Ke Chen Yonghong Tian Yaowei Wang J. M. F. Moura 28 26 0 12 May 2020
Diversity Helps: Unsupervised Few-shot Learning via Distribution Shift-based Data Augmentation Tiexin Qin Wenbin Li Yinghuan Shi Yang Gao 31 16 0 13 Apr 2020
Proxy Anchor Loss for Deep Metric Learning Sungyeon Kim Dongwon Kim Minsu Cho Suha Kwak 25 352 0 31 Mar 2020
Instance Credibility Inference for Few-Shot Learning Yikai Wang C. Xu Chen Liu Li Zhang Yanwei Fu 27 160 0 26 Mar 2020
StarNet: towards Weakly Supervised Few-Shot Object Detection Leonid Karlinsky J. Shtok Amit Alfassy M. Lichtenstein Sivan Harary ... Sivan Doveh P. Sattigeri Rogerio Feris A. Bronstein Raja Giryes 14 6 0 15 Mar 2020
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification M. Lichtenstein P. Sattigeri Rogerio Feris Raja Giryes Leonid Karlinsky 18 76 0 14 Mar 2020
Meta-Learning across Meta-Tasks for Few-Shot Learning Nanyi Fei Zhiwu Lu Yizhao Gao Jia Tian Tao Xiang Ji-Rong Wen 169 11 0 11 Feb 2020
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 68 657 0 10 Dec 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 496 11,727 0 09 Mar 2017