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Learning to Compare: Relation Network for Few-Shot Learning

16 November 2017

Li Zhang

Timothy M. Hospedales

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Papers citing "Learning to Compare: Relation Network for Few-Shot Learning"

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Title
PAC-Bayes meta-learning with implicit task-specific posteriors Cuong C. Nguyen Thanh-Toan Do G. Carneiro BDL 120 7 0 05 Mar 2020
Meta Cyclical Annealing Schedule: A Simple Approach to Avoiding Meta-Amortization Error Yu-ichi Hayashi Taiji Suzuki 16 0 0 04 Mar 2020
Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification Sion An Soopil Kim Philip Chikontwe Sang Hyun Park 70 42 0 03 Mar 2020
Novelty-Prepared Few-Shot Classification Chao Wang Ruofan Liu Han-Jia Ye Yang Yu 42 0 0 01 Mar 2020
Introduction to deep learning Lihi Shiloh-Perl Raja Giryes 54 0 0 29 Feb 2020
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning Jianhong Zhang Manli Zhang Zhiwu Lu Tao Xiang Ji-Rong Wen 74 12 0 28 Feb 2020
Meta-Transfer Learning for Zero-Shot Super-Resolution Jae Woong Soh Sunwoo Cho N. Cho SupR 88 285 0 27 Feb 2020
Meta-Learned Confidence for Few-shot Learning Seong Min Kye Haebeom Lee Hoirin Kim Sung Ju Hwang 59 23 0 27 Feb 2020
When Relation Networks meet GANs: Relation GANs with Triplet Loss Runmin Wu Kunyao Zhang Lijun Wang Yue Wang Pingping Zhang Huchuan Lu Yizhou Yu GAN 24 0 0 24 Feb 2020
Fine-Grained Instance-Level Sketch-Based Video Retrieval Peng Xu Kun Liu Tao Xiang Timothy M. Hospedales Zhanyu Ma Jun Guo Yi-Zhe Song 100 33 0 21 Feb 2020
Exploiting the Matching Information in the Support Set for Few Shot Event Classification Viet Dac Lai Franck Dernoncourt Thien Huu Nguyen 64 41 0 13 Feb 2020
Meta-Learning across Meta-Tasks for Few-Shot Learning Nanyi Fei Zhiwu Lu Yizhao Gao Jia Tian Tao Xiang Ji-Rong Wen 273 11 0 11 Feb 2020
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis Jiechao Guan Zhiwu Lu Tao Xiang Ji-Rong Wen 44 12 0 06 Feb 2020
Revisiting Meta-Learning as Supervised Learning Wei-Lun Chao Han-Jia Ye De-Chuan Zhan M. Campbell Kilian Q. Weinberger OOD FedML 88 24 0 03 Feb 2020
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning Mahesh Kumar Krishna Reddy M. Hossain Mrigank Rochan Yang Wang 65 40 0 01 Feb 2020
Domain segmentation and adjustment for generalized zero-shot learning Xinsheng Wang Shanmin Pang Jihua Zhu 34 4 0 01 Feb 2020
Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification Yuqing Hu Vincent Gripon S. Pateux 69 28 0 27 Jan 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation Hung-Yu Tseng Hsin-Ying Lee Jia-Bin Huang Ming-Hsuan Yang 94 395 0 23 Jan 2020
Continual Local Replacement for Few-shot Learning Canyu Le Zhonggui Chen Xihan Wei Biao Wang Lei Zhang BDL CLL 54 2 0 23 Jan 2020
Optimized Generic Feature Learning for Few-shot Classification across Domains Tonmoy Saikia Thomas Brox Cordelia Schmid VLM 77 49 0 22 Jan 2020
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning Hongguang Zhang Piotr Koniusz Songlei Jian Hongdong Li Philip Torr SSL 103 60 0 12 Jan 2020
Few-shot Action Recognition with Permutation-invariant Attention Hongguang Zhang Li Zhang Xiaojuan Qi Hongdong Li Philip Torr Piotr Koniusz 45 3 0 12 Jan 2020
Non-Parametric Learning of Lifted Restricted Boltzmann Machines Navdeep Kaur Gautam Kunapuli Sriraam Natarajan 38 4 0 09 Jan 2020
Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer Hongguang Zhang Philip Torr Piotr Koniusz ViT 72 3 0 06 Jan 2020
Automated Relational Meta-learning Huaxiu Yao Xian Wu Zhiqiang Tao Yaliang Li Bolin Ding Ruirui Li Z. Li 93 90 0 03 Jan 2020
Diversity Transfer Network for Few-Shot Learning Mengting Chen Yuxin Fang Xinggang Wang Heng Luo Yifeng Geng Xinyu Zhang Chang Huang Wenyu Liu Bo Wang 93 71 0 31 Dec 2019
FLAT: Few-Shot Learning via Autoencoding Transformation Regularizers Haohang Xu H. Xiong Guojun Qi 41 2 0 29 Dec 2019
Variational Metric Scaling for Metric-Based Meta-Learning Jiaxin Chen Li-Ming Zhan Xiao-Ming Wu K. F. Chung 67 48 0 26 Dec 2019
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 310 1,211 0 24 Dec 2019
Learning to Impute: A General Framework for Semi-supervised Learning Wei-Hong Li Chuan-Sheng Foo Hakan Bilen SSL 73 10 0 22 Dec 2019
Measuring Dataset Granularity Huayu Chen Zeqi Gu D. Mahajan Laurens van der Maaten Serge J. Belongie Ser-Nam Lim 75 13 0 21 Dec 2019
Locality and compositionality in zero-shot learning Tristan Sylvain Linda Petrini R. Devon Hjelm 74 56 0 20 Dec 2019
Unsupervised Few-shot Learning via Self-supervised Training Zilong Ji Xiaolong Zou Tiejun Huang Si Wu SSL 66 24 0 20 Dec 2019
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning Zhongjie Yu Lin Chen Zhongwei Cheng Jiebo Luo 80 110 0 19 Dec 2019
One-Shot Weakly Supervised Video Object Segmentation Mennatullah Siam Naren Doraiswamy Boris N. Oreshkin Hengshuai Yao Martin Jägersand VOS 45 2 0 18 Dec 2019
Semantic Regularization: Improve Few-shot Image Classification by Reducing Meta Shift Da Chen Yongliang Yang Zunlei Feng Xiang Wu Min-Gyoo Song Wenbin Li Yuan He Hui Xue Feng Mao VLM 23 1 0 18 Dec 2019
A Broader Study of Cross-Domain Few-Shot Learning Yunhui Guo Noel Codella Leonid Karlinsky James V. Codella John R. Smith Kate Saenko Tajana Simunic Rogerio Feris 88 45 0 16 Dec 2019
Towards Contextual Learning in Few-shot Object Classification M. Fortin B. Chaib-draa 49 3 0 13 Dec 2019
Multi-level Similarity Learning for Low-Shot Recognition Hongwei Xv Xin Sun Junyu Dong Shu Zhang Qiong Li 22 1 0 13 Dec 2019
Meta-Learning Initializations for Image Segmentation S. Hendryx Andrew B. Leach P. Hein Clayton T. Morrison VLM 83 25 0 13 Dec 2019
Associative Alignment for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 75 151 0 11 Dec 2019
A Two-Stage Approach to Few-Shot Learning for Image Recognition Debasmit Das C. S. George Lee 108 126 0 10 Dec 2019
Improved Few-Shot Visual Classification Peyman Bateni Raghav Goyal Vaden Masrani Frank Wood Leonid Sigal VLM 85 233 0 07 Dec 2019
Revisiting Few-Shot Learning for Facial Expression Recognition Anca-Nicoleta Ciubotaru A. Devos Behzad Bozorgtabar Jean-Philippe Thiran M. Gabrani CVBM 63 11 0 05 Dec 2019
MetaFun: Meta-Learning with Iterative Functional Updates Jin Xu Jean-François Ton Hyunjik Kim Adam R. Kosiorek Yee Whye Teh 75 68 0 05 Dec 2019
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification Sivan Doveh Eli Schwartz Chao Xue Rogerio Feris A. Bronstein Raja Giryes Leonid Karlinsky 120 17 0 01 Dec 2019
VIABLE: Fast Adaptation via Backpropagating Learned Loss Leo Feng L. Zintgraf Bei Peng Shimon Whiteson 51 1 0 29 Nov 2019
Unlocking the Full Potential of Small Data with Diverse Supervision Ziqi Pang Zhiyuan Hu P. Tokmakov Yu-Xiong Wang M. Hebert 25 0 0 29 Nov 2019
One-Shot Object Detection with Co-Attention and Co-Excitation Ting-I Hsieh Yi-Chen Lo Hwann-Tzong Chen Tyng-Luh Liu ObjD 107 167 0 28 Nov 2019
Learning Multi-level Weight-centric Features for Few-shot Learning Min-Siong Liang Shaoli Huang Shirui Pan Biwei Huang Wei Liu 114 11 0 28 Nov 2019