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
Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators Zihang Meng Vikas Singh Sathya Ravi 40 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 20 50 0 18 Aug 2021
Few-Shot Batch Incremental Road Object Detection via Detector Fusion Anuj Tambwekar Kshitij Agrawal Anay Majee A. Subramanian ObjD 16 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 44 16 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 44 59 0 11 Aug 2021
Prototype Completion for Few-Shot Learning Baoquan Zhang Xutao Li Yunming Ye Shanshan Feng VLM 68 18 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 40 29 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 41 17 0 09 Aug 2021
Transductive Few-Shot Classification on the Oblique Manifold Guodong Qi Huimin Yu Zhaohui Lu Shuzhao Li 19 45 0 09 Aug 2021
Knowledge accumulating: The general pattern of learning Zhuoran Xu Hao Liu CLL 26 0 0 09 Aug 2021
One-Shot Object Affordance Detection in the Wild Wei Zhai Hongcheng Luo Jing Zhang Yang Cao Dacheng Tao 79 44 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 171 173 0 06 Aug 2021
Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning Akash Gupta P. Jonnalagedda B. Bhanu Amit K. Roy-Chowdhury 28 5 0 05 Aug 2021
Dynamic Relevance Learning for Few-Shot Object Detection Weijie Liu Chong Wang Haohe Li Shenghao Yu Xiaogang Xu ObjD 26 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 21 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 38 167 0 02 Aug 2021
Recurrent Mask Refinement for Few-Shot Medical Image Segmentation Hao Tang Xingwei Liu Shanlin Sun Xiangyi Yan Xiaohui Xie 30 101 0 02 Aug 2021
Few-Shot and Continual Learning with Attentive Independent Mechanisms Eugene Lee Cheng-Han Huang Chen-Yi Lee CLL 23 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 37 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 32 61 0 26 Jul 2021
What Remains of Visual Semantic Embeddings Yue Jiao Jonathon S. Hare Adam Prugel-Bennett VLM 16 0 0 26 Jul 2021
Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data Yu Fu Yanwei Fu Yu-Gang Jiang 19 60 0 26 Jul 2021
A Transductive Maximum Margin Classifier for Few-Shot Learning Fei Pan Chunlei Xu Jie Guo Yanwen Guo 19 0 0 26 Jul 2021
Will Multi-modal Data Improves Few-shot Learning? Zilun Zhang Shihao Ma Yichun Zhang 18 2 0 25 Jul 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback Mike Wu Noah D. Goodman Chris Piech Chelsea Finn 40 19 0 23 Jul 2021
Improving the Generalization of Meta-learning on Unseen Domains via Adversarial Shift Pinzhuo Tian Yao Gao OOD 17 1 0 23 Jul 2021
LARGE: Latent-Based Regression through GAN Semantics Yotam Nitzan Rinon Gal Ofir Brenner Daniel Cohen-Or GAN 29 26 0 22 Jul 2021
Learning to Transfer: A Foliated Theory Janith C. Petangoda M. Deisenroth N. Monk 23 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 42 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 18 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 21 144 0 19 Jul 2021
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction Yaqing Wang Abulikemu Abuduweili Quanming Yao Dejing Dou 42 68 0 16 Jul 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 47 88 0 16 Jul 2021
Multi-Level Contrastive Learning for Few-Shot Problems Qing Chen Jian Zhang 31 5 0 15 Jul 2021
A Channel Coding Benchmark for Meta-Learning Rui Li Ondrej Bohdal Rajesh K. Mishra Hyeji Kim Da Li Nicholas D. Lane Timothy M. Hospedales 36 9 0 15 Jul 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Zhen junzha Meng Wang 32 1 0 12 Jul 2021
Zero-Shot Compositional Concept Learning Guangyue Xu Parisa Kordjamshidi J. Chai CoGe 96 19 0 12 Jul 2021
TA2N: Two-Stage Action Alignment Network for Few-shot Action Recognition Shuyuan Li Huabin Liu Rui Qian Yuxi Li John See Mengjuan Fei Xiaoyuan Yu W. Lin 23 75 0 10 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 27 6 0 07 Jul 2021
Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes Xiang Li Lingjing Wang Yi Fang 3DPC 11 0 0 07 Jul 2021
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction M. Mendez-Ruiz Jorge Gonzalez-Zapata G. Ochoa-Ruiz Andres Mendez-Vazquez 40 1 0 06 Jul 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks Jun Shu Deyu Meng Zongben Xu 37 6 0 06 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 39 1 0 05 Jul 2021
Few-Shot Learning with a Strong Teacher Han-Jia Ye Lu Ming De-Chuan Zhan Wei-Lun Chao 27 51 0 01 Jul 2021
How to Train Your MAML to Excel in Few-Shot Classification Han-Jia Ye Wei-Lun Chao 32 49 0 30 Jun 2021
Few-Shot Electronic Health Record Coding through Graph Contrastive Learning Shanshan Wang Pengjie Ren Zhumin Chen Zhaochun Ren Huasheng Liang Qiang Yan Evangelos Kanoulas Maarten de Rijke 16 5 0 29 Jun 2021
MAML is a Noisy Contrastive Learner in Classification Chia-Hsiang Kao Wei-Chen Chiu Pin-Yu Chen 27 17 0 29 Jun 2021
High-dimensional separability for one- and few-shot learning Alexander N. Gorban Bogdan Grechuk Evgeny M. Mirkes Sergey V. Stasenko I. Tyukin DRL 42 20 0 28 Jun 2021
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning Yi Zhang Sheng Huang Xiao-song Peng Dan Yang 33 9 0 28 Jun 2021
Interpreting Depression From Question-wise Long-term Video Recording of SDS Evaluation Wanqing Xie Lizhong Liang Yao Lu Chen Wang Jihong Shen Hui Luo Xiaofeng Liu 29 21 0 25 Jun 2021