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
Not Just Learning from Others but Relying on Yourself: A New Perspective on Few-Shot Segmentation in Remote Sensing Hanbo Bi Yingchao Feng Zhiyuan Yan Yongqiang Mao Wenhui Diao Hongqi Wang Xian Sun 19 16 0 19 Oct 2023
Context-Aware Meta-Learning Christopher Fifty Dennis Duan Ronald G. Junkins Ehsan Amid Jurij Leskovec Christopher Ré Sebastian Thrun LRM VLM MLLM 25 10 0 17 Oct 2023
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies Kieran Wood Samuel Kessler Stephen J. Roberts S. Zohren AI4TS 28 2 0 16 Oct 2023
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification Tianjun Ke Haoqun Cao Zenan Ling Feng Zhou UQCV 30 7 0 16 Oct 2023
Few-shot Action Recognition with Captioning Foundation Models Xiang Wang Shiwei Zhang Hangjie Yuan Yingya Zhang Changxin Gao Deli Zhao Nong Sang VLM 28 7 0 16 Oct 2023
Plug-and-Play Feature Generation for Few-Shot Medical Image Classification Qianyu Guo Huifang Du Xing Jia Shuyong Gao Yan Teng Haofen Wang Wenqiang Zhang MedIm VLM 21 0 0 14 Oct 2023
Surveying the Landscape of Text Summarization with Deep Learning: A Comprehensive Review Guanghua Wang Weili Wu AI4TS AILaw 38 3 0 13 Oct 2023
Multi-task Explainable Skin Lesion Classification Mahapara Khurshid Mayank Vatsa Richa Singh 21 1 0 11 Oct 2023
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification Feihong He Gang Li Hui Xiong VLM ViT 54 1 0 05 Oct 2023
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning Junhoo Lee Jayeon Yoo Nojun Kwak 27 2 0 04 Oct 2023
Few-Shot Multi-Label Aspect Category Detection Utilizing Prototypical Network with Sentence-Level Weighting and Label Augmentation Zeyu Wang M. Iwaihara 10 2 0 27 Sep 2023
HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot Classification with Unimodal Cues Ankit Jha Debabrata Pal Mainak Singha Naman Agarwal Biplab Banerjee 11 0 0 23 Sep 2023
A Systematic Review of Few-Shot Learning in Medical Imaging Eva Pachetti Sara Colantonio 33 17 0 20 Sep 2023
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition Shubham Trehan U. Ramachandran Ruth Scimeca Sathyanarayanan N. Aakur 19 0 0 18 Sep 2023
Multi-Semantic Fusion Model for Generalized Zero-Shot Skeleton-Based Action Recognition Ming-Zhe Li Zhen Jia Z. Zhang Zhanyu Ma Liang Wang 19 4 0 18 Sep 2023
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification Junjie Zhu Yiying Li Chunping Qiu Ke Yang Naiyang Guan Xiaodong Yi 29 6 0 17 Sep 2023
MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces Zhicun Yin Ming-Yu Liu Xiaoming Li Hui Yang Longan Xiao W. Zuo 3DH 30 6 0 15 Sep 2023
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions Tianxu Wu Shuo Ye Shuhuang Chen Qinmu Peng Xinge You DiffM 31 3 0 15 Sep 2023
Retrieval-Augmented Meta Learning for Low-Resource Text Classification Rongsheng Li Yongqian Li Hai-Tao Zheng Chaiyut Luoyiching Hai-Tao Zheng Nannan Zhou Hanjing Su RALM 18 2 0 10 Sep 2023
Prompt Learning With Knowledge Memorizing Prototypes For Generalized Few-Shot Intent Detection Chaiyut Luoyiching Yongqian Li Hai-Tao Zheng Rongsheng Li Hai-Tao Zheng Nannan Zhou Hanjing Su CLL 28 0 0 10 Sep 2023
Text-to-feature diffusion for audio-visual few-shot learning Otniel-Bogdan Mercea Thomas Hummel A. Sophia Koepke Zeynep Akata VLM 27 2 0 07 Sep 2023
Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot Learning Siyang Jiang Rui Fang Hsi-Wen Chen Wei Ding Ming-Syan Chen 21 1 0 05 Sep 2023
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance Qisen Yang Shenzhi Wang Qihang Zhang Gao Huang Shiji Song OffRL OnRL 26 8 0 04 Sep 2023
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification Marzi Heidari Abdullah Alchihabi Qing En Yuhong Guo VLM 34 0 0 04 Sep 2023
Federated Few-shot Learning for Cough Classification with Edge Devices Ngan Dao Hoang Dat Tran-Anh Manh Luong Cong Tran Cuong Pham FedML 27 4 0 03 Sep 2023
Semi-Supervised SAR ATR Framework with Transductive Auxiliary Segmentation Chenwei Wang Xiaoyu Liu Yulin Huang Siyi Luo Jifang Pei Jianyu Yang Deqing Mao 11 13 0 31 Aug 2023
Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning A. Hatem Yiming Qian Yang Wang 3DPC 84 9 0 31 Aug 2023
Fair Few-shot Learning with Auxiliary Sets Song Wang Jing Ma Lu Cheng Jundong Li 45 2 0 28 Aug 2023
Unleash Model Potential: Bootstrapped Meta Self-supervised Learning Wenwen Qiang Changwen Zheng Jingyao Wang Changwen Zheng SSL 17 1 0 28 Aug 2023
Harmonization Across Imaging Locations(HAIL): One-Shot Learning for Brain MRI Abhijeet Parida Zhifan Jiang Syed Muhammad Anwar N. Foreman N. Stence Michael Fisher Roger J. Packer Robert A. Avery M. Linguraru MedIm 13 1 0 21 Aug 2023
Meta-ZSDETR: Zero-shot DETR with Meta-learning Lu Zhang Chenbo Zhang Jiajia Zhao Jihong Guan Shuigeng Zhou VLM ObjD 35 5 0 18 Aug 2023
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond Chen Shuai Meng Fanman Runtong Zhang Heqian Qiu Hongliang Li Wu Qingbo Xu Linfeng VLM 30 12 0 15 Aug 2023
Improved Region Proposal Network for Enhanced Few-Shot Object Detection Zeyu Shangguan Mohammad Rostami ObjD 29 12 0 15 Aug 2023
On the Importance of Spatial Relations for Few-shot Action Recognition Yilun Zhang Yu Fu Xingjun Ma Lizhe Qi Jingjing Chen Zuxuan Wu Yueping Jiang ViT 16 6 0 14 Aug 2023
Approximating Human-Like Few-shot Learning with GPT-based Compression C.-Y. Huang Yuqing Xie Zhiying Jiang Jimmy J. Lin Ming Li 22 9 0 14 Aug 2023
IOSG: Image-driven Object Searching and Grasping Houjian Yu Xibai Lou Yang Yang Changhyun Choi 19 5 0 10 Aug 2023
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement Zhen-Hu Ning Zhuotao Tian Guangming Lu Wenjie Pei 3DPC 26 14 0 06 Aug 2023
M $^3$ Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition Hao Tang Jun Liu Shuanglin Yan Rui Yan Zechao Li Jinhui Tang 19 37 0 06 Aug 2023
Meta-learning in healthcare: A survey Alireza Rafiei Ronald Moore S. Jahromi F. Hajati Rishikesan Kamaleswaran 19 8 0 05 Aug 2023
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification Menglong Lu Zhen Huang Zhiliang Tian Yunxiang Zhao Xuanyu Fei Dongsheng Li OOD 31 5 0 04 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants Yibo Yang Haobo Yuan Hefei Ling Jianlong Wu Lefei Zhang Zhouchen Lin Philip H. S. Torr Dacheng Tao Guohao Li CLL 31 8 0 03 Aug 2023
Adaptive Semantic Consistency for Cross-domain Few-shot Classification Hengchu Lu Yuanjie Shao Xiang Wang Changxin Gao 25 1 0 01 Aug 2023
Few-shot Image Classification based on Gradual Machine Learning Nanway Chen Xianming Kuang Feiyu Liu K. Wang Qun Chen CLL VLM 27 2 0 28 Jul 2023
Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification Subeen Lee WonJun Moon Hyun Seok Seong Jae-Pil Heo 30 0 0 28 Jul 2023
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation Kai Zheng Huishuai Zhang Weiran Huang 24 4 0 28 Jul 2023
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing Jing Wu N. Hovakimyan Jennifer Hobbs 32 14 0 27 Jul 2023
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot Milad Abdollahzadeh Touba Malekzadeh Christopher T. H. Teo Keshigeyan Chandrasegaran Guimeng Liu Ngai-man Cheung VLM MedIm 44 21 0 26 Jul 2023
Cos R-CNN for Online Few-shot Object Detection G. P. Data Henry Howard-Jenkins D. W. Murray V. Prisacariu ObjD 27 1 0 25 Jul 2023
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge Young D. Kwon Rui Li Stylianos I. Venieris Jagmohan Chauhan Nicholas D. Lane Cecilia Mascolo 19 8 0 19 Jul 2023
Exploiting Field Dependencies for Learning on Categorical Data Zhibin Li Piotr Koniusz Lu Zhang D. Pagendam Peyman Moghadam 34 4 0 18 Jul 2023