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
Adaptive manifold for imbalanced transductive few-shot learning Michalis Lazarou Yannis Avrithis Tania Stathaki 21 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 26 10 0 26 Apr 2023
Combining Adversaries with Anti-adversaries in Training Xiaoling Zhou Nan Yang Ou Wu AAML 20 6 0 25 Apr 2023
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection B. Demirel Orhun Bugra Baran R. G. Cinbis 39 10 0 24 Apr 2023
Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement Hao Zhu Piotr Koniusz 34 40 0 23 Apr 2023
Spectral Normalization and Dual Contrastive Regularization for Image-to-Image Translation Chen Zhao W. Cai Zheng Yuan DiffM 26 11 0 22 Apr 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts Aaditya K. Singh Kartik Sarangmath Prithvijit Chattopadhyay Judy Hoffman OOD 44 1 0 21 Apr 2023
Few-shot Medical Image Segmentation via Cross-Reference Transformer Yao-Pin Huang Jianming Liu ViT MedIm OOD 21 0 0 19 Apr 2023
LSFSL: Leveraging Shape Information in Few-shot Learning Deepan Padmanabhan Shruthi Gowda Elahe Arani Bahram Zonooz 28 6 0 13 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 43 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 48 17 0 12 Apr 2023
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning Tejas Anvekar Dena Bazazian 3DPC 34 8 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 19 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 23 7 0 10 Apr 2023
MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental Learning Anant Khandelwal CLL 24 0 0 08 Apr 2023
From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot Keypoint Detection Changsheng Lu Hao Zhu Piotr Koniusz 48 11 0 06 Apr 2023
Learning to Learn with Indispensable Connections Sambhavi Tiwari Manas Gogoi Shekhar Verma Krishna Pratap Singh CLL 23 0 0 06 Apr 2023
FACE-AUDITOR: Data Auditing in Facial Recognition Systems Min Chen Zhikun Zhang Tianhao Wang Michael Backes Yang Zhang CVBM 30 14 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 24 40 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 21 58 0 02 Apr 2023
A Closer Look at Few-Shot 3D Point Cloud Classification Chuangguan Ye Hongyuan Zhu Bo-Wen Zhang Tao Chen 3DPC 29 15 0 31 Mar 2023
What Makes for Effective Few-shot Point Cloud Classification? Chuangguan Ye Hongyuan Zhu Yongbin Liao Yang-ting Zhang Tao Chen Jiayuan Fan 3DPC 27 26 0 31 Mar 2023
Rethinking matching-based few-shot action recognition Juliette Bertrand Yannis Kalantidis Giorgos Tolias 32 1 0 28 Mar 2023
Learning Expressive Prompting With Residuals for Vision Transformers Rajshekhar Das Yonatan Dukler Avinash Ravichandran A. Swaminathan VLM VPVLM 30 21 0 27 Mar 2023
Few-Shot Domain Adaptation for Low Light RAW Image Enhancement K. Prabhakar Vishal Vinod N. Sahoo Venkatesh Babu Radhakrishnan 22 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 53 71 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 22 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 30 27 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 24 35 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 26 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 21 38 0 24 Mar 2023
Prompt Tuning based Adapter for Vision-Language Model Adaption Jingchen Sun Jiayu Qin Zihao Lin Changyou Chen VPVLM MLLM VLM 36 5 0 24 Mar 2023
Few Shot Medical Image Segmentation with Cross Attention Transformer Yi-Mou Lin Yufan Chen Kwang-Ting Cheng Hao Chen ViT MedIm 43 16 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 30 6 0 20 Mar 2023
A Survey of Deep Visual Cross-Domain Few-Shot Learning Wenjian Wang Lijuan Duan Yuxi Wang Junsong Fan Zhi Gong Zhaoxiang Zhang 26 5 0 16 Mar 2023
Exploring Distributional Shifts in Large Language Models for Code Analysis Shushan Arakelyan Rocktim Jyoti Das Yi Mao Xiang Ren ALM 24 19 0 16 Mar 2023
Bi-directional Distribution Alignment for Transductive Zero-Shot Learning Zhicai Wang Y. Hao Tingting Mu Ouxiang Li Shuo Wang Xiangnan He VLM 31 10 0 15 Mar 2023
SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning Jinxiang Lai Siqian Yang Wenlong Wu Taojing Wu Guannan Jiang ... Jun Liu Bin-Bin Gao Wei Zhang Yuan Xie Chengjie Wang 30 10 0 15 Mar 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 32 13 0 15 Mar 2023
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection Anthony Chen Kevin Zhang Renrui Zhang Zihan Wang Yuheng Lu Yandong Guo Shanghang Zhang 3DPC 70 60 0 14 Mar 2023
Meta-learning approaches for few-shot learning: A survey of recent advances Hassan Gharoun Fereshteh Momenifar Fang Chen Amir H. Gandomi OOD VLM 44 43 0 13 Mar 2023
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning Min Zhang Zifeng Zhuang Zhitao Wang Donglin Wang Wen-Bin Li 46 5 0 12 Mar 2023
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models Juncheng Li Minghe Gao Longhui Wei Siliang Tang Wenqiao Zhang Meng Li Wei Ji Qi Tian Tat-Seng Chua Yueting Zhuang VLM VPVLM 34 18 0 12 Mar 2023
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning Marco D’Alessandro Alberto Alonso Enrique Calabrés M. Galar CLL 40 13 0 08 Mar 2023
CLIP-guided Prototype Modulating for Few-shot Action Recognition Xiang Wang Shiwei Zhang Jun Cen Changxin Gao Yingya Zhang Deli Zhao Nong Sang VLM 27 53 0 06 Mar 2023
Model-Agnostic Meta-Learning for Natural Language Understanding Tasks in Finance Bixing Yan Shaoling Chen Yuxuan He Zhihan Li AIFin 20 2 0 06 Mar 2023
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners Renrui Zhang Xiangfei Hu Bohao Li Siyuan Huang Hanqiu Deng Hongsheng Li Yu Qiao Peng Gao VLM MLLM 40 170 0 03 Mar 2023
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning Ivona Najdenkoska Xiantong Zhen M. Worring VLM 15 18 0 28 Feb 2023
HalluAudio: Hallucinating Frequency as Concepts for Few-Shot Audio Classification Zhongjie Yu Shuyang Wang Lin Chen Zhongwei Cheng VLM 8 3 0 27 Feb 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes Charles Riou Pierre Alquier Badr-Eddine Chérief-Abdellatif 43 8 0 23 Feb 2023