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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
Rapid Model Architecture Adaption for Meta-Learning Yiren Zhao Xitong Gao Ilia Shumailov Nicolò Fusi Robert D. Mullins 100 4 0 10 Sep 2021
LibFewShot: A Comprehensive Library for Few-shot Learning Wenbin Li Ziyi Ziyi Wang Xuesong Yang C. Dong ... Jing Huo Yinghuan Shi Lei Wang Yang Gao Jiebo Luo VLM 179 69 0 10 Sep 2021
Knowledge-Aware Meta-learning for Low-Resource Text Classification Huaxiu Yao Yingxin Wu Maruan Al-Shedivat Eric Xing VLM CLIP 120 11 0 10 Sep 2021
Adaptive Few-Shot Learning PoC Ultrasound COVID-19 Diagnostic System Michael Karnes Shehan Perera S. Adhikari Alper Yilmaz 51 7 0 08 Sep 2021
Few-shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network with Adaptive Sample Pair Formation Kexin Feng Theodora Chaspari 57 26 0 07 Sep 2021
Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis Zejiang Hou S. Kung 37 1 0 07 Sep 2021
Iterative Pseudo-Labeling with Deep Feature Annotation and Confidence-Based Sampling B. C. Benato A. Telea A. X. Falcão 38 12 0 06 Sep 2021
Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition Xiyao Liu Zhong Ji Yanwei Pang Zhongfei Zhang 69 17 0 03 Sep 2021
Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning Zhong Ji Zhishen Hou Xiyao Liu Yanwei Pang Jungong Han 87 21 0 03 Sep 2021
Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification Yike Wu Bo Zhang Gang Yu Weixiao Zhang Bin Wang Tao Chen Jiayuan Fan ObjD 67 25 0 30 Aug 2021
Binocular Mutual Learning for Improving Few-shot Classification Ziqi Zhou Xi Qiu Jiangtao Xie Jianan Wu Chi Zhang SSL 74 77 0 27 Aug 2021
Few-shot Visual Relationship Co-localization Revant Teotia Vaibhav Mishra Mayank Maheshwari Anand Mishra 69 1 0 26 Aug 2021
Learning Class-level Prototypes for Few-shot Learning Minglei Yuan Wenhai Wang Tao Wang Chunhao Cai Qian Xu Tong Lu VLM 34 3 0 25 Aug 2021
Normal Learning in Videos with Attention Prototype Network Chao Hu Fan Wu Weijie Wu Weibin Qiu Shengxin Lai 50 1 0 25 Aug 2021
Adaptation-Agnostic Meta-Training Jiaxin Chen Li-Ming Zhan Xiao-Ming Wu K. F. Chung 95 0 0 24 Aug 2021
Relational Embedding for Few-Shot Classification Dahyun Kang Heeseung Kwon Juhong Min Minsu Cho 97 187 0 22 Aug 2021
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection Limeng Qiao Yuxuan Zhao Zhiyuan Li Xi Qiu Jianan Wu Chi Zhang ObjD 104 203 0 20 Aug 2021
Few Shot Activity Recognition Using Variational Inference Neeraj Kumar Siddhansh Narang BDL VLM 43 5 0 20 Aug 2021
Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators Zihang Meng Vikas Singh Sathya Ravi 49 1 0 19 Aug 2021
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting Anna Kukleva Hilde Kuehne Bernt Schiele CLL 75 51 0 18 Aug 2021
Few-Shot Batch Incremental Road Object Detection via Detector Fusion Anuj Tambwekar Kshitij Agrawal Anay Majee A. Subramanian ObjD 106 5 0 18 Aug 2021
Few-Shot Fine-Grained Action Recognition via Bidirectional Attention and Contrastive Meta-Learning Jiahao Wang Yunhong Wang Sheng Liu Annan Li 68 17 0 15 Aug 2021
Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder Hanwen Liang Qiong Zhang Peng Dai Juwei Lu 88 63 0 11 Aug 2021
Prototype Completion for Few-Shot Learning Baoquan Zhang Xutao Li Yunming Ye Shanshan Feng VLM 136 20 0 11 Aug 2021
Known Operator Learning and Hybrid Machine Learning in Medical Imaging -- A Review of the Past, the Present, and the Future Andreas K. Maier Harald Kostler M. Heisig P. Krauss S. Yang MedIm 123 30 0 10 Aug 2021
The Role of Global Labels in Few-Shot Classification and How to Infer Them Ruohan Wang Massimiliano Pontil C. Ciliberto VLM 85 17 0 09 Aug 2021
Transductive Few-Shot Classification on the Oblique Manifold Guodong Qi Huimin Yu Zhaohui Lu Shuzhao Li 70 45 0 09 Aug 2021
Knowledge accumulating: The general pattern of learning Zhuoran Xu Hao Liu CLL 74 0 0 09 Aug 2021
One-Shot Object Affordance Detection in the Wild Wei Zhai Hongcheng Luo Jing Zhang Yang Cao Dacheng Tao 140 45 0 08 Aug 2021
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer Zhihe Lu Sen He Xiatian Zhu Li Zhang Yi-Zhe Song Tao Xiang ViT 221 179 0 06 Aug 2021
Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning Akash Gupta P. Jonnalagedda B. Bhanu Amit K. Roy-Chowdhury 59 6 0 05 Aug 2021
Dynamic Relevance Learning for Few-Shot Object Detection Weijie Liu Chong Wang Haohe Li Shenghao Yu Xiaogang Xu ObjD 92 10 0 04 Aug 2021
ODIP: Towards Automatic Adaptation for Object Detection by Interactive Perception Tung-I Chen Jen-Wei Wang Winston H. Hsu VLM ObjD 39 0 0 03 Aug 2021
Learn to Match: Automatic Matching Network Design for Visual Tracking Zhipeng Zhang Yihao Liu Tianlin Li Bing Li Weiming Hu 86 172 0 02 Aug 2021
Recurrent Mask Refinement for Few-Shot Medical Image Segmentation Hao Tang Xingwei Liu Shanlin Sun Xiangyi Yan Xiaohui Xie 84 102 0 02 Aug 2021
Few-Shot and Continual Learning with Attentive Independent Mechanisms Eugene Lee Cheng-Han Huang Chen-Yi Lee CLL 60 25 0 29 Jul 2021
Proposal-based Few-shot Sound Event Detection for Speech and Environmental Sounds with Perceivers Piper Wolters Logan Sizemore Chris Daw Brian Hutchinson Lauren A. Phillips 79 11 0 28 Jul 2021
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification Chengcheng Han Zeqiu Fan Dongxiang Zhang Minghui Qiu Ming Gao Aoying Zhou VLM 51 63 0 26 Jul 2021
What Remains of Visual Semantic Embeddings Yue Jiao Jonathon S. Hare Adam Prugel-Bennett VLM 31 0 0 26 Jul 2021
Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data Yu Fu Yanwei Fu Yu-Gang Jiang 70 67 0 26 Jul 2021
A Transductive Maximum Margin Classifier for Few-Shot Learning Fei Pan Chunlei Xu Jie Guo Yanwen Guo 43 0 0 26 Jul 2021
Will Multi-modal Data Improves Few-shot Learning? Zilun Zhang Shihao Ma Yichun Zhang 34 2 0 25 Jul 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback Mike Wu Noah D. Goodman Chris Piech Chelsea Finn 89 19 0 23 Jul 2021
Improving the Generalization of Meta-learning on Unseen Domains via Adversarial Shift Pinzhuo Tian Yao Gao OOD 51 1 0 23 Jul 2021
LARGE: Latent-Based Regression through GAN Semantics Yotam Nitzan Rinon Gal Ofir Brenner Daniel Cohen-Or GAN 55 26 0 22 Jul 2021
Learning to Transfer: A Foliated Theory Janith C. Petangoda M. Deisenroth N. Monk 52 0 0 22 Jul 2021
External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery I. Sledge Christopher Toole J. Maestri José C. Príncipe 83 1 0 22 Jul 2021
Boosting Few-Shot Classification with View-Learnable Contrastive Learning Xu Luo Yuxuan Chen Liangjiang Wen Lili Pan Zenglin Xu VLM SSL 107 25 0 20 Jul 2021
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning Kai Zhu Yang Cao Wei Zhai Jie Cheng Zhengjun Zha CLL 131 147 0 19 Jul 2021
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction Yaqing Wang Abulikemu Abuduweili Quanming Yao Dejing Dou 93 70 0 16 Jul 2021