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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
Neuromodulated Meta-Learning Wenwen Qiang Huijie Guo Jingyao Wang Jiangmeng Li Changwen Zheng Hui Xiong Gang Hua 111 0 0 11 Nov 2024
Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning Fei Zhou Peng Wang Lei Zhang Zhaoyu Chen Wei Wei Chen Ding Guosheng Lin Yanning Zhang 108 1 0 03 Nov 2024
Improving DNN Modularization via Activation-Driven Training Tuan Ngo Abid Hassan Saad Shafiq Nenad Medvidovic MoMe 67 0 0 01 Nov 2024
Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks Xinyue Liu Yunlong Gao Linlin Zong Bo Xu VLM 77 1 0 14 Oct 2024
Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-free Adaptor Sahar Ahmadi A. Cheraghian Morteza Saberi Md. Towsif Abir Hamidreza Dastmalchi Farookh Hussain Shafin Rahman 3DPC 86 2 0 11 Oct 2024
ConML: A Universal Meta-Learning Framework with Task-Level Contrastive Learning Shiguang Wu Yaqing Wang Yatao Bian Quanming Yao CLL 137 0 0 08 Oct 2024
Episodic fine-tuning prototypical networks for optimization-based few-shot learning: Application to audio classification Xuanyu Zhuang Geoffroy Peeters Gaël Richard 28 0 0 04 Oct 2024
OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection Changsheng Lu Zheyuan Liu Piotr Koniusz VLM 70 4 0 30 Sep 2024
Learning to Obstruct Few-Shot Image Classification over Restricted Classes Amber Yijia Zheng Chiao-An Yang Raymond A. Yeh 99 2 0 28 Sep 2024
Improving Visual Object Tracking through Visual Prompting Shih-Fang Chen Jun-Cheng Chen I-Hong Jhuo Yen-Yu Lin VLM 84 1 0 27 Sep 2024
AgMTR: Agent Mining Transformer for Few-shot Segmentation in Remote Sensing Hanbo Bi Yingchao Feng Yongqiang Mao Jianning Pei Wenhui Diao Hongqi Wang Xian Sun ViT 99 6 0 26 Sep 2024
EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition Ming Jin Danni Zhang Gangming Zhao Changde Du Jinpeng Li TTA 75 0 0 24 Sep 2024
Across-Game Engagement Modelling via Few-Shot Learning Kosmas Pinitas Konstantinos Makantasis Georgios N. Yannakakis 74 1 0 19 Sep 2024
LC-Protonets: Multi-Label Few-Shot Learning for World Music Audio Tagging Charilaos Papaioannou Emmanouil Benetos Alexandros Potamianos 179 2 0 17 Sep 2024
Prompt-and-Transfer: Dynamic Class-aware Enhancement for Few-shot Segmentation Hanbo Bi Yingchao Feng Wenhui Diao Peijin Wang Yongqiang Mao Kun Fu Hongqi Wang Xian Sun VLM 80 5 0 16 Sep 2024
Rethinking Meta-Learning from a Learning Lens Wenwen Qiang Jingyao Wang Chuxiong Sun Hui Xiong Jiangmeng Li 159 3 0 13 Sep 2024
Music auto-tagging in the long tail: A few-shot approach T. A. Ma Alexander Lerch VLM 61 0 0 12 Sep 2024
Few-Shot Learning: Expanding ID Cards Presentation Attack Detection to Unknown ID Countries Alvaro S. Rocamora Juan M. Espin Juan E. Tapia 61 2 0 10 Sep 2024
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity Junkun Chen Jilin Mei Liang Chen Fangzhou Zhao Yu Hu Yu Hu ObjD 117 1 0 09 Sep 2024
Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning Raphael Lafargue Luke Smith Franck Vermet Mathias Löwe Ian Reid Vincent Gripon Jack Valmadre 82 0 0 04 Sep 2024
Surveying You Only Look Once (YOLO) Multispectral Object Detection Advancements, Applications And Challenges James E. Gallagher E. Oughton 107 0 0 03 Sep 2024
CP-VoteNet: Contrastive Prototypical VoteNet for Few-Shot Point Cloud Object Detection Xuejing Li Weijia Zhang Chao Ma 3DPC 91 1 0 30 Aug 2024
Local Descriptors Weighted Adaptive Threshold Filtering For Few-Shot Learning Bingchen Yan 103 0 0 28 Aug 2024
LeMON: Learning to Learn Multi-Operator Networks Jingmin Sun Zecheng Zhang Hayden Schaeffer 99 7 0 28 Aug 2024
Feature Aligning Few shot Learning Method Using Local Descriptors Weighted Rules Bingchen Yan 106 0 0 26 Aug 2024
FMI-TAL: Few-shot Multiple Instances Temporal Action Localization by Probability Distribution Learning and Interval Cluster Refinement Fengshun Wang Qiurui Wang Yuting Wang 78 0 0 25 Aug 2024
Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples Zhenyu Wang John H. L. Hansen AAML 86 1 0 23 Aug 2024
Making Large Vision Language Models to be Good Few-shot Learners Fan Liu Wenwen Cai Jian Huo Chuanyi Zhang Delong Chen Jun Zhou 89 0 0 21 Aug 2024
Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation Jiawei Han Kaiqi Liu Wei Li Guangzhi Chen 100 2 0 20 Aug 2024
Predictive uncertainty estimation in deep learning for lung carcinoma classification in digital pathology under real dataset shifts A. Fayjie Jutika Borah F. Carbone Jan Tack Patrick Vandewalle OOD UQCV 76 2 0 15 Aug 2024
A Simple Task-aware Contrastive Local Descriptor Selection Strategy for Few-shot Learning between inter class and intra class Qian Qiao Yu Xie Shaoyao Huang Fanzhang Li 93 0 0 12 Aug 2024
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning Gianluca Carloni Sotirios A. Tsaftaris Sara Colantonio OOD 69 2 0 09 Aug 2024
Learn To Learn More Precisely Runxi Cheng Yongxian Wei Xianglong He Wanyun Zhu Songsong Huang Fei Richard Yu Fei Ma Chun Yuan 85 0 0 08 Aug 2024
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits Mateusz Ochal Massimiliano Patacchiola Malik Boudiaf Sen Wang 83 0 0 04 Aug 2024
Compositional Physical Reasoning of Objects and Events from Videos Zhenfang Chen Shilong Dong Kexin Yi Yunzhu Li Mingyu Ding Antonio Torralba Joshua B. Tenenbaum Chuang Gan OCL 121 3 0 02 Aug 2024
Open Set Recognition for Random Forest Guanchao Feng Dhruv Desai Stefano Pasquali Dhagash Mehta BDL 49 4 0 01 Aug 2024
Investigating learning-independent abstract reasoning in artificial neural networks T. Barak Y. Loewenstein 71 1 0 25 Jul 2024
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training Yuqi Liu Mengyu Li Ximing Li Lan Huang Fausto Giunchiglia Yanchun Liang Xiaoyue Feng Renchu Guan SSL 102 4 0 20 Jul 2024
MetaAug: Meta-Data Augmentation for Post-Training Quantization Cuong Pham Hoang Anh Dung Cuong C. Nguyen Trung Le Dinh Q. Phung Gustavo Carneiro Thanh-Toan Do MQ 76 0 0 20 Jul 2024
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models Quan Li Tianxiang Zhao Lingwei Chen Junjie Xu Suhang Wang AI4CE 116 2 0 19 Jul 2024
Siamese Transformer Networks for Few-shot Image Classification Weihao Jiang Shuoxi Zhang Kun He ViT 108 0 0 16 Jul 2024
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community Yan Liu Bin Guo Nuo Li Yasan Ding Zhouyangzi Zhang Zhiwen Yu 133 1 0 09 Jul 2024
DMSD-CDFSAR: Distillation from Mixed-Source Domain for Cross-Domain Few-shot Action Recognition Fei-Yu Guo YiKang Wang Han Qi Li Zhu Jing Sun 111 2 0 08 Jul 2024
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning Xiaojie Li Yibo Yang Jianlong Wu Guohao Li Ming-Hsuan Yang Liqiang Nie M. Zhang Mamba 99 6 0 08 Jul 2024
Neural varifolds: an aggregate representation for quantifying the geometry of point clouds Juheon Lee Xiaohao Cai Carola-Bibian Schönlieb Simon Masnou 3DPC 83 1 0 05 Jul 2024
SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection Anay Majee Ryan Sharp Rishabh K. Iyer 98 1 0 02 Jul 2024
Semantically Guided Representation Learning For Action Anticipation Anxhelo Diko D. Avola Bardh Prenkaj Federico Fontana Luigi Cinque AI4TS 59 3 0 02 Jul 2024
Hybrid Feature Collaborative Reconstruction Network for Few-Shot Fine-Grained Image Classification Shulei Qiu Wanqi Yang Ming Yang 91 0 0 02 Jul 2024
Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts Pasquale De Marinis Nicola Fanelli Raffaele Scaringi Emanuele Colonna Giuseppe Fiameni G. Vessio Giovanna Castellano MLLM VLM 72 2 0 02 Jul 2024
Unleash the Power of Local Representations for Few-Shot Classification Shi Tang Guiming Luo Xinchen Ye Zhiyi Xia 64 0 0 02 Jul 2024