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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
Prototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud Semantic Segmentation Shuting He Xudong Jiang Wei Jiang Henghui Ding 3DPC 108 34 0 23 May 2023
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification Idio Guarino Chao Wang A. Finamore A. Pescapé Dario Rossi 65 11 0 21 May 2023
MsPrompt: Multi-step Prompt Learning for Debiasing Few-shot Event Detection Siyuan Wang Jianming Zheng Xuejun Hu Fei Cai Chengyu Song Xueshan Luo 78 6 0 16 May 2023
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification Jiasi Chen Richong Zhang Yongyi Mao Jie Xue 77 79 0 16 May 2023
SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification M. Mendez-Ruiz Jorge Gonzalez-Zapata Iván Reyes-Amezcua Daniel Flores-Araiza F. Lopez-Tiro Andres Mendez-Vazquez Gilberto Ochoa-Ruiz 71 2 0 15 May 2023
Learning More Discriminative Local Descriptors for Few-shot Learning Qi Song Siyun Zhou Liwei Xu 53 2 0 15 May 2023
Artificial intelligence to advance Earth observation: a perspective D. Tuia Konrad Schindler Begüm Demir Gustau Camps-Valls Xiao Xiang Zhu ... Mihai Datcu Jorge-Arnulfo Quiané-Ruiz Volker Markl Bertrand Le Saux Rochelle Schneider 122 12 0 15 May 2023
Meta-DM: Applications of Diffusion Models on Few-Shot Learning W. Hu Xiurong Jiang Jiarun Liu Yuqi Yang Hui Tian DiffM 80 7 0 14 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 98 4 0 13 May 2023
Robust Saliency-Aware Distillation for Few-shot Fine-grained Visual Recognition Haiqi Liu Chong Chen Xinrong Gong Tong Zhang 77 12 0 12 May 2023
Few-shot Action Recognition via Intra- and Inter-Video Information Maximization Huabin Liu W. Lin Tieyuan Chen Yuxi Li Shuyuan Li John See 70 6 0 10 May 2023
Plug-and-Play Multilingual Few-shot Spoken Words Recognition Aaqib Saeed Vasileios Tsouvalas 63 0 0 03 May 2023
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models Qiufeng Wang Xu Yang Shuxia Lin Jing Wang Xin Geng 80 13 0 03 May 2023
Discovering the Effectiveness of Pre-Training in a Large-scale Car-sharing Platform Kyungchul Park Hyun-Kyo Chung 51 0 0 02 May 2023
Few-shot Classification via Ensemble Learning with Multi-Order Statistics Sai Yang Fan Liu Delong Chen Jun Zhou 65 6 0 30 Apr 2023
Analogy-Forming Transformers for Few-Shot 3D Parsing N. Gkanatsios M. Singh Zhaoyuan Fang Shubham Tulsiani Katerina Fragkiadaki 3DPC 3DV 65 2 0 27 Apr 2023
Adaptive manifold for imbalanced transductive few-shot learning Michalis Lazarou Yannis Avrithis Tania Stathaki 79 6 0 27 Apr 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning Yi Rong Xiongbo Lu Zhaoyang Sun Yaxiong Chen Shengwu Xiong 77 12 0 26 Apr 2023
Combining Adversaries with Anti-adversaries in Training Xiaoling Zhou Nan Yang Ou Wu AAML 59 9 0 25 Apr 2023
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection B. Demirel Orhun Bugra Baran R. G. Cinbis 111 12 0 24 Apr 2023
Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement Hao Zhu Piotr Koniusz 111 41 0 23 Apr 2023
Spectral Normalization and Dual Contrastive Regularization for Image-to-Image Translation Chen Zhao W. Cai Zheng Yuan DiffM 63 13 0 22 Apr 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts Aaditya K. Singh Kartik Sarangmath Prithvijit Chattopadhyay Judy Hoffman OOD 90 1 0 21 Apr 2023
Few-shot Medical Image Segmentation via Cross-Reference Transformer Yao-Pin Huang Jianming Liu ViT MedIm OOD 83 0 0 19 Apr 2023
LSFSL: Leveraging Shape Information in Few-shot Learning Deepan Padmanabhan Shruthi Gowda Elahe Arani Bahram Zonooz 64 8 0 13 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 90 0 0 13 Apr 2023
AGI for Agriculture Guoyu Lu Sheng Li Gengchen Mai Jin Sun Dajiang Zhu ... R. Xu Daniel Petti Changying Li Tianming Liu Changying Li AI4CE 98 17 0 12 Apr 2023
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning Tejas Anvekar Dena Bazazian 3DPC 79 9 0 12 Apr 2023
APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP Mainak Singha Ankit Jha Bhupendra S. Solanki Shirsha Bose Biplab Banerjee VLM 107 27 0 12 Apr 2023
Simulated Annealing in Early Layers Leads to Better Generalization Amirm. Sarfi Zahra Karimpour Muawiz Chaudhary N. Khalid Mirco Ravanelli Sudhir Mudur Eugene Belilovsky AI4CE CLL 76 9 0 10 Apr 2023
MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental Learning Anant Khandelwal CLL 69 0 0 08 Apr 2023
From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot Keypoint Detection Changsheng Lu Hao Zhu Piotr Koniusz 77 11 0 06 Apr 2023
Learning to Learn with Indispensable Connections Sambhavi Tiwari Manas Gogoi Shekhar Verma Krishna Pratap Singh CLL 78 1 0 06 Apr 2023
FACE-AUDITOR: Data Auditing in Facial Recognition Systems Min Chen Zhikun Zhang Tianhao Wang Michael Backes Yang Zhang CVBM 90 17 0 05 Apr 2023
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition Xiang Wang Shiwei Zhang Zhiwu Qing Changxin Gao Yingya Zhang Deli Zhao Nong Sang 84 45 0 03 Apr 2023
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning Zeyin Song Yifan Zhao Yujun Shi Peixi Peng Liuliang Yuan Yonghong Tian CLL 78 63 0 02 Apr 2023
A Closer Look at Few-Shot 3D Point Cloud Classification Chuangguan Ye Erik Cambria Bo Zhang Tao Chen 3DPC 89 15 0 31 Mar 2023
What Makes for Effective Few-shot Point Cloud Classification? Chuangguan Ye Erik Cambria Yongbin Liao Yang-ting Zhang Tao Chen Jiayuan Fan 3DPC 108 26 0 31 Mar 2023
Rethinking matching-based few-shot action recognition Juliette Bertrand Yannis Kalantidis Giorgos Tolias 67 1 0 28 Mar 2023
Learning Expressive Prompting With Residuals for Vision Transformers Rajshekhar Das Yonatan Dukler Avinash Ravichandran A. Swaminathan VLM VPVLM 71 22 0 27 Mar 2023
Few-Shot Domain Adaptation for Low Light RAW Image Enhancement K. Prabhakar Vishal Vinod N. Sahoo Venkatesh Babu Radhakrishnan 67 7 0 27 Mar 2023
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation Bohao Peng Zhuotao Tian Xiaoyang Wu Chenyao Wang Shu Liu Jingyong Su Jiaya Jia 127 77 0 26 Mar 2023
Boosting Few-Shot Text Classification via Distribution Estimation Han Liu Feng Zhang Xiaotong Zhang Siyang Zhao Fenglong Ma Xiao-Ming Wu Hongyang Chen Hong Yu Xianchao Zhang OODD VLM 120 12 0 26 Mar 2023
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style Fengyin Lin Mingkang Li Da Li Timothy M. Hospedales Yi-Zhe Song Yonggang Qi 114 29 0 25 Mar 2023
Supervised Masked Knowledge Distillation for Few-Shot Transformers Hanxi Lin G. Han Jiawei Ma Shiyuan Huang Xudong Lin Shih-Fu Chang 90 36 0 25 Mar 2023
Adaptive Base-class Suppression and Prior Guidance Network for One-Shot Object Detection Wenwen Zhang Xinyu Xiao Hangguan Shan Eryun Liu ObjD 71 0 0 24 Mar 2023
Semantic Prompt for Few-Shot Image Recognition Wentao Chen Chenyang Si Zhang Zhang Liangdao Wang Zilei Wang Tien-Ping Tan VLM 53 40 0 24 Mar 2023
Prompt Tuning based Adapter for Vision-Language Model Adaption Jingchen Sun Jiayu Qin Zihao Lin Changyou Chen VPVLM MLLM VLM 42 6 0 24 Mar 2023
Few Shot Medical Image Segmentation with Cross Attention Transformer Yi Lin Yufan Chen Kwang-Ting Cheng Hao Chen ViT MedIm 127 21 0 24 Mar 2023
Decomposed Prototype Learning for Few-Shot Scene Graph Generation Xingchen Li Long Chen Guikun Chen Yinfu Feng Yi Yang Jun Xiao 84 7 0 20 Mar 2023