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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
Meta-Learning Based Early Fault Detection for Rolling Bearings via Few-Shot Anomaly Detection Wen-qi Song Di Wu Nong Sang Benoit Boulet 27 3 0 27 Apr 2022
Meta-free few-shot learning via representation learning with weight averaging Kuilin Chen Chi-Guhn Lee 56 5 0 26 Apr 2022
Realistic Evaluation of Transductive Few-Shot Learning Olivier Veilleux Malik Boudiaf Pablo Piantanida Ismail Ben Ayed 83 37 0 24 Apr 2022
Few-Shot Speaker Identification Using Depthwise Separable Convolutional Network with Channel Attention Yanxiong Li Wucheng Wang Hao Chen Wenchang Cao Wei Li Qianhua He 63 5 0 24 Apr 2022
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition Satoshi Tsutsui Yanwei Fu David J. Crandall GAN 79 12 0 22 Apr 2022
Few-shot learning for medical text: A systematic review Yao Ge Yuting Guo Yuan-Chi Yang M. Al-garadi A. Sarker 74 21 0 21 Apr 2022
Learning Compositional Representations for Effective Low-Shot Generalization Samarth Mishra Pengkai Zhu Venkatesh Saligrama OCL 56 3 0 17 Apr 2022
Multi-Modal Few-Shot Object Detection with Meta-Learning-Based Cross-Modal Prompting G. Han Long Chen Jiawei Ma Shiyuan Huang Ramalingam Chellappa Shih-Fu Chang VLM 112 21 0 16 Apr 2022
Visual Attention Methods in Deep Learning: An In-Depth Survey Mohammed Hassanin Saeed Anwar Ibrahim Radwan Fahad Shahbaz Khan Ajmal Mian 136 166 0 16 Apr 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference S. Hu Da Li Jan Stuhmer Minyoung Kim Timothy M. Hospedales 92 197 0 15 Apr 2022
AutoFi: Towards Automatic WiFi Human Sensing via Geometric Self-Supervised Learning Jianfei Yang Xinyan Chen Han Zou Dazhuo Wang Lihua Xie 77 33 0 12 Apr 2022
Few-shot Learning with Noisy Labels Kevin J. Liang Samrudhdhi B. Rangrej Vladan Petrovic Tal Hassner NoLa 98 50 0 12 Apr 2022
A Simple Approach to Adversarial Robustness in Few-shot Image Classification Akshayvarun Subramanya Hamed Pirsiavash VLM 66 6 0 11 Apr 2022
GDC- Generalized Distribution Calibration for Few-Shot Learning Shakti Kumar Hussain Zaidi 77 8 0 11 Apr 2022
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification Jianhai Zhang M. Maimaiti Xing Gao Yuanhang Zheng Ji Zhang 68 9 0 11 Apr 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification Jiangtao Xie Fei Long Jiaming Lv Qilong Wang P. Li 87 172 0 09 Apr 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling R. Tao Han Zhang Yutong Zheng Marios Savvides 78 20 0 07 Apr 2022
Interval Bound Interpolation for Few-shot Learning with Few Tasks Shounak Datta S. S. Mullick A. Chakrabarty Swagatam Das 77 3 0 07 Apr 2022
The Self-Optimal-Transport Feature Transform Daniel Shalam Simon Korman OT 65 22 0 06 Apr 2022
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations Niv Cohen Rinon Gal E. Meirom Gal Chechik Yuval Atzmon VLM MLLM 119 88 0 04 Apr 2022
Matching Feature Sets for Few-Shot Image Classification Arman Afrasiyabi Hugo Larochelle Jean-François Lalonde Christian Gagné VLM 79 75 0 02 Apr 2022
AutoProtoNet: Interpretability for Prototypical Networks Pedro Sandoval Segura W. Lawson 35 2 0 02 Apr 2022
On the Efficiency of Integrating Self-supervised Learning and Meta-learning for User-defined Few-shot Keyword Spotting Wei-Tsung Kao Yue Wu Chia-Ping Chen Zhi-Sheng Chen Yu-Pao Tsai Hung-yi Lee 59 7 0 01 Apr 2022
Improved Relation Networks for End-to-End Speaker Verification and Identification Ashutosh Chaubey Sparsh Sinha Susmita Ghose 49 3 0 31 Mar 2022
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks Da-Wei Zhou Han-Jia Ye Liang Ma Di Xie Shiliang Pu De-Chuan Zhan CLL 110 127 0 31 Mar 2022
Overcoming challenges in leveraging GANs for few-shot data augmentation Christopher Beckham I. Laradji Pau Rodríguez López David Vazquez Derek Nowrouzezahrai C. Pal 25 1 0 30 Mar 2022
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations Lingjie Mei Jiayuan Mao Ziqi Wang Chuang Gan J. Tenenbaum VLM 92 22 0 30 Mar 2022
Semantic Line Detection Using Mirror Attention and Comparative Ranking and Matching Dongkwon Jin Jun-Tae Lee Chang-Su Kim 68 11 0 29 Mar 2022
Few-Shot Object Detection with Fully Cross-Transformer G. Han Jiawei Ma Shiyuan Huang Long Chen Shih-Fu Chang 119 135 0 28 Mar 2022
Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model Yu Du Fangyun Wei Zihe Zhang Miaojing Shi Yue Gao Guoqi Li VPVLM VLM 104 336 0 28 Mar 2022
A Framework of Meta Functional Learning for Regularising Knowledge Transfer Pan Li Yanwei Fu S. Gong 32 0 0 28 Mar 2022
Sketch3T: Test-Time Training for Zero-Shot SBIR Aneeshan Sain A. Bhunia Vaishnav Potlapalli Pinaki Nath Chowdhury Tao Xiang Yi-Zhe Song VLM 78 50 0 28 Mar 2022
Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparison Tianying Liu Lu Zhang Yang Wang Jihong Guan Yanwei Fu Jiajia Zhao Shuigeng Zhou ObjD AAML 82 27 0 27 Mar 2022
Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection Li Yin Juan-Manuel Perez-Rua Kevin J. Liang ObjD 84 35 0 25 Mar 2022
Learning to Adapt to Unseen Abnormal Activities under Weak Supervision Jaeyoo Park Junha Kim Bohyung Han OffRL 65 5 0 25 Mar 2022
Compare learning: bi-attention network for few-shot learning Li Ke Meng Pan Weigao Wen Dong Li 40 4 0 25 Mar 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 103 32 0 25 Mar 2022
Multidimensional Belief Quantification for Label-Efficient Meta-Learning Deepshikha Pandey Qi Yu UQCV 45 11 0 23 Mar 2022
Efficient Few-Shot Object Detection via Knowledge Inheritance Ze Yang Chi Zhang Ruibo Li Yi Tian Xu Guosheng Lin VLM 103 34 0 23 Mar 2022
Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofing Hsin-Ping Huang Deqing Sun Yaojie Liu Wen-Sheng Chu Taihong Xiao Jinwei Yuan Hartwig Adam Ming-Hsuan Yang CVBM 113 62 0 23 Mar 2022
Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation Ying Zhao Zhiliang Tian Huaxiu Yao Yinhe Zheng Dongkyu Lee Yiping Song Jian Sun N. Zhang 70 20 0 22 Mar 2022
HyperShot: Few-Shot Learning by Kernel HyperNetworks Marcin Sendera Marcin Przewiȩźlikowski Konrad Karanowski Maciej Ziȩba Jacek Tabor Przemysław Spurek VLM 101 29 0 21 Mar 2022
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning Aleksandr Ermolov L. Mirvakhabova Valentin Khrulkov N. Sebe Ivan Oseledets 96 105 0 21 Mar 2022
Incremental Few-Shot Learning via Implanting and Compressing Yiting Li H. Zhu Xijia Feng Zilong Cheng Jun Ma Cheng Xiang P. Vadakkepat T. Lee CLL VLM 85 2 0 19 Mar 2022
Multi-similarity based Hyperrelation Network for few-shot segmentation Xian Shi Zhe Cui Shaobing Zhang Miao Cheng L. He Xianghong Tang 65 6 0 17 Mar 2022
Few-Shot Learning on Graphs Chuxu Zhang Kaize Ding Jundong Li Xiangliang Zhang Yanfang Ye Nitesh Chawla Huan Liu 133 20 0 17 Mar 2022
Semantic-aligned Fusion Transformer for One-shot Object Detection Yizhou Zhao Xun Guo Yan Lu ViT ObjD 75 21 0 17 Mar 2022
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning Yang He Weihan Liang Dongyang Zhao Hong-Yu Zhou Weifeng Ge Yizhou Yu Wenqiang Zhang ViT 98 46 0 17 Mar 2022
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector Bo Liu Qiulei Dong Zhanyi Hu 89 11 0 17 Mar 2022
Label Semantics for Few Shot Named Entity Recognition Jie Ma Miguel Ballesteros Srikanth Doss Kadarundalagi Raghuram Doss Rishita Anubhai S. Mallya Yaser Al-Onaizan Dan Roth 70 68 0 16 Mar 2022