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
Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition Masashi Hatano Ryo Hachiuma Ryoske Fujii Hideo Saito EgoV 42 4 0 30 May 2024
The Battle of LLMs: A Comparative Study in Conversational QA Tasks Aryan Rangapur Aman Rangapur ELM 32 7 0 28 May 2024
Potential Field Based Deep Metric Learning Shubhang Bhatnagar Narendra Ahuja 51 1 0 28 May 2024
Unsupervised Meta-Learning via In-Context Learning Anna Vettoruzzo Lorenzo Braccaioli Joaquin Vanschoren M. Nowaczyk SSL 61 0 0 25 May 2024
Layout Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST) Megha Thukral Sourish Gunesh Dhekane S. Hiremath H. Haresamudram Thomas Ploetz 40 3 0 20 May 2024
Perturbing the Gradient for Alleviating Meta Overfitting Manas Gogoi Sambhavi Tiwari Shekhar Verma 20 1 0 20 May 2024
Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation Jin Wang Bingfeng Zhang Jian Pang Honglong Chen Weifeng Liu VLM 32 6 0 14 May 2024
Data-Efficient and Robust Task Selection for Meta-Learning Donglin Zhan James Anderson OOD 34 2 0 11 May 2024
Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning Haichen Zhou Yixiong Zou Ruixuan Li Yuhua Li Kui Xiao 29 1 0 08 May 2024
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing Han Liu Siyang Zhao Xiaotong Zhang Feng Zhang Wei Wang Fenglong Ma Hongyang Chen Hong Yu Xianchao Zhang VLM 27 2 0 06 May 2024
Class-relevant Patch Embedding Selection for Few-Shot Image Classification Weihao Jiang Haoyang Cui Kun He VLM 44 0 0 06 May 2024
Accelerating Convergence in Bayesian Few-Shot Classification Tianjun Ke Haoqun Cao Feng Zhou 38 0 0 02 May 2024
Deep Metric Learning-Based Out-of-Distribution Detection with Synthetic Outlier Exposure Assefa Seyoum Wahd 52 0 0 01 May 2024
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation Min Zhang Haoxuan Li Fei Wu Kun Kuang OODD 24 12 0 30 Apr 2024
UniFS: Universal Few-shot Instance Perception with Point Representations Sheng Jin Ruijie Yao Lumin Xu Wentao Liu Chao Qian Ji Wu Ping Luo 48 2 0 30 Apr 2024
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution Zeynep Özdemir H. Keles Ö. Ö. Tanriöver 36 0 0 25 Apr 2024
Revisiting Relevance Feedback for CLIP-based Interactive Image Retrieval Ryoya Nara Yu-Chieh Lin Yuji Nozawa Youyang Ng Goh Itoh Osamu Torii Yusuke Matsui HAI 29 2 0 25 Apr 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling Yun Yue Fangzhou Lin Guanyi Mou Ziming Zhang SSL 30 1 0 23 Apr 2024
Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping through Zero-shot Foundation Models Leonardo Barcellona Alberto Bacchin Matteo Terreran Emanuele Menegatti Stefano Ghidoni 33 1 0 19 Apr 2024
Meta-Auxiliary Learning for Micro-Expression Recognition Wenwen Qiang Yunhan Tian Yuxuan Yang Xiaoxin Chen Changwen Zheng Jingyao Wang 50 7 0 18 Apr 2024
Context-Aware Siamese Networks for Efficient Emotion Recognition in Conversation Barbara Gendron Gaël Guibon 25 0 0 17 Apr 2024
FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models Yanting Wang Wei Zou Jinyuan Jia 47 1 0 12 Apr 2024
Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning Selim Furkan Tekin Fatih Ilhan Tiansheng Huang Sihao Hu Ka-Ho Chow Margaret Loper Ling Liu 50 1 0 05 Apr 2024
Prompt Learning via Meta-Regularization Jinyoung Park Juyeon Ko Hyunwoo J. Kim VLM VPVLM 47 14 0 01 Apr 2024
Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing Zhenyu Qian Yiming Qian Yuting Song Fei Gao Hai Jin Chen Yu Xia Xie 43 0 0 31 Mar 2024
Few-shot Online Anomaly Detection and Segmentation Shenxing Wei Xing Wei Zhiheng Ma Songlin Dong Shaochen Zhang Yihong Gong 38 8 0 27 Mar 2024
Self-Supervised Learning for Medical Image Data with Anatomy-Oriented Imaging Planes Tianwei Zhang Dong Wei Mengmeng Zhua Shi Gu Yefeng Zheng SSL 35 0 0 25 Mar 2024
EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real World Yifei Huang Guo Chen Jilan Xu Mingfang Zhang Lijin Yang ... Hongjie Zhang Lu Dong Yali Wang Limin Wang Yu Qiao EgoV 66 38 0 24 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 49 0 0 23 Mar 2024
Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation Zhitong Xiong Yi Wang Fahong Zhang Adam J. Stewart Joelle Hanna Damian Borth Ioannis Papoutsis B. L. Saux Gustau Camps-Valls Xiao Xiang Zhu AI4CE 76 12 0 22 Mar 2024
Workload Estimation for Unknown Tasks: A Survey of Machine Learning Under Distribution Shift Josh Bhagat Smith Julie A. Adams 21 0 0 20 Mar 2024
Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework Yubo Ye Sumeet Vadhavkar Xiajun Jiang R. Missel Huafeng Liu Linwei Wang 44 0 0 13 Mar 2024
MENTOR: Multilingual tExt detectioN TOward leaRning by analogy Hsin-Ju Lin Tsu-Chun Chung Ching-Chun Hsiao Pin-Yu Chen Wei-Chen Chiu Ching-Chun Huang 27 0 0 12 Mar 2024
Query-guided Prototype Evolution Network for Few-Shot Segmentation Runmin Cong Hang Xiong Jinpeng Chen Wei Zhang Qingming Huang Yao Zhao 57 13 0 11 Mar 2024
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications Minyang Hu Hong Chang Zong Guo Bingpeng Ma Shiguang Shan Xilin Chen VLM 29 1 0 06 Mar 2024
Boosting Meta-Training with Base Class Information for Few-Shot Learning Weihao Jiang Guodong Liu Di He Kun He CLL 43 0 0 06 Mar 2024
Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning Huali Xu Li Liu Shuaifeng Zhi Shaojing Fu Z. Su Ming-Ming Cheng Yongxiang Liu 52 10 0 04 Mar 2024
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation Yunwei Bai Ying Kiat Tan Tsuhan Chen 43 0 0 28 Feb 2024
MGE: A Training-Free and Efficient Model Generation and Enhancement Scheme Xuan Wang Zeshan Pang Yuliang Lu Xuehu Yan 38 0 0 27 Feb 2024
Reinforcement Learning-Based Approaches for Enhancing Security and Resilience in Smart Control: A Survey on Attack and Defense Methods Zheyu Zhang AAML 26 0 0 23 Feb 2024
Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data Felix Ott Lucas Heublein N. Raichur Tobias Feigl Jonathan Hansen A. Rügamer Christopher Mutschler 24 7 0 09 Feb 2024
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment Lei Wang Jun Liu Liang Zheng Tom Gedeon Piotr Koniusz 30 9 0 07 Feb 2024
Few-Shot Class-Incremental Learning with Prior Knowledge Wenhao Jiang Duo Li Menghan Hu Guangtao Zhai Xiaokang Yang Xiao-Ping Zhang CLL 47 1 0 02 Feb 2024
Episodic-free Task Selection for Few-shot Learning Tao Zhang 13 0 0 31 Jan 2024
Cross-Domain Few-Shot Learning via Adaptive Transformer Networks Naeem Paeedeh Mahardhika Pratama M. A. Ma'sum Wolfgang Mayer Zehong Cao Ryszard Kowlczyk 31 9 0 25 Jan 2024
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning Xinghao Wang Junliang He Pengyu Wang Yunhua Zhou Tianxiang Sun Xipeng Qiu AI4TS 30 3 0 24 Jan 2024
LDCA: Local Descriptors with Contextual Augmentation for Few-Shot Learning Maofa Wang Bingchen Yan 33 0 0 24 Jan 2024
AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space A. Mottaghi Mohammad Abdullah Jamal Serena Yeung Omid Mohareri 36 0 0 23 Jan 2024
Augmenting Prototype Network with TransMix for Few-shot Hyperspectral Image Classification Chun Liu Longwei Yang Dongmei Dong Zheng Li Wei Yang Zhigang Han Jiayao Wang 20 0 0 22 Jan 2024
Towards Open-World Gesture Recognition Junxiao Shen Matthias De Lange X. Xu Enmin Zhou Ran Tan Naveen Suda Maciej Lazarewicz Per Ola Kristensson Amy Karlson Evan Strasnick 20 3 0 20 Jan 2024