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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
Semantic-Based Few-Shot Learning by Interactive Psychometric Testing Lu Yin Vlado Menkovski Yulong Pei Mykola Pechenizkiy 69 1 0 16 Dec 2021
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 106 21 0 15 Dec 2021
Exploring Category-correlated Feature for Few-shot Image Classification Jing Xu Xinglin Pan Xu Luo Wenjie Pei Zenglin Xu 75 4 0 14 Dec 2021
Hybrid Graph Neural Networks for Few-Shot Learning Tianyuan Yu Sen He Yi-Zhe Song Tao Xiang 55 63 0 13 Dec 2021
Shaping Visual Representations with Attributes for Few-Shot Recognition Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 83 7 0 13 Dec 2021
Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species Changsheng Lu Piotr Koniusz 102 39 0 12 Dec 2021
Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF Su Zhu Lu Chen Ruisheng Cao Zhi Chen Qingliang Miao Kai Yu 54 2 0 09 Dec 2021
Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning Rongkai Ma Pengfei Fang Gilat Avraham Yan Zuo Tianyu Zhu Tom Drummond Mehrtash Harandi VLM 49 13 0 07 Dec 2021
Label Hallucination for Few-Shot Classification Yiren Jian Lorenzo Torresani 81 42 0 06 Dec 2021
Curriculum Meta-Learning for Few-shot Classification Emmanouil Stergiadis Priyanka Agrawal Oliver Squire VLM 76 5 0 06 Dec 2021
MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples Yuying Ge Ruimao Zhang Ping Luo 59 7 0 06 Dec 2021
Stage Conscious Attention Network (SCAN) : A Demonstration-Conditioned Policy for Few-Shot Imitation Jia-Fong Yeh Chi-Ming Chung Hung-Ting Su Yi-Ting Chen Winston H. Hsu 55 3 0 04 Dec 2021
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples Sen Jia Shuguo Jiang Zhijie Lin Nanying Li Meng Xu Shiqi Yu VLM 91 279 0 03 Dec 2021
AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration Bowen Li Chen Wang Pranay Reddy Seungchan Kim Sebastian Scherer ViT 57 26 0 03 Dec 2021
Adaptive Poincaré Point to Set Distance for Few-Shot Classification Rongkai Ma Pengfei Fang Tom Drummond Mehrtash Harandi 69 47 0 03 Dec 2021
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention Kun Yan Chenbin Zhang Jun Hou Ping Wang Zied Bouraoui Shoaib Jameel Steven Schockaert 70 20 0 02 Dec 2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning Shuai Shao Lei Xing Rui Xu Weifeng Liu Yanjiang Wang Baodi Liu 92 30 0 01 Dec 2021
Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning Zhe Liu Yun Yvonna Li L. Yao Julian McAuley Sam Dixon 76 11 0 01 Dec 2021
Ranking Distance Calibration for Cross-Domain Few-Shot Learning Pan Li S. Gong Chengjie Wang Yanwei Fu 81 36 0 01 Dec 2021
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning Hanbyel Cho Yooshin Cho Jaemyung Yu Junmo Kim 3DH 41 15 0 30 Nov 2021
AVA-AVD: Audio-Visual Speaker Diarization in the Wild Eric Z. Xu Zeyang Song Satoshi Tsutsui C. Feng Mang Ye Mike Zheng Shou VGen 83 43 0 29 Nov 2021
Improving traffic sign recognition by active search Sami Jaghouar Hannes Gustafsson Bernhard Mehlig Erik Werner N. Gustafsson 46 0 0 29 Nov 2021
Using Fictitious Class Representations to Boost Discriminative Zero-Shot Learners Mohammed Dabbah Ran El-Yaniv 98 0 0 26 Nov 2021
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation Jiacheng Chen Bin-Bin Gao Zongqing Lu Jing-Hao Xue Chengjie Wang Q. Liao VLM 88 32 0 24 Nov 2021
Few-Shot Object Detection via Association and DIscrimination Yuhang Cao Jiaqi Wang Ying Jin Tong Wu Kai-xiang Chen Ziwei Liu Dahua Lin ObjD 82 84 0 23 Nov 2021
NTD: Non-Transferability Enabled Backdoor Detection Yinshan Li Hua Ma Zhi-Li Zhang Yansong Gao A. Abuadbba Anmin Fu Yifeng Zheng S. Al-Sarawi Derek Abbott AAML 76 6 0 22 Nov 2021
One-shot Weakly-Supervised Segmentation in Medical Images Wenhui Lei Q. Su Ran Gu Na Wang Xinglong Liu Guotai Wang Xiaofan Zhang Shaoting Zhang 53 2 0 21 Nov 2021
Generating meta-learning tasks to evolve parametric loss for classification learning Zhaoyang Hai Xiabi Liu Yuchen Ren N. Q. Soomro 40 0 0 20 Nov 2021
Metric-based multimodal meta-learning for human movement identification via footstep recognition Muhammad Shakeel Katsutoshi Itoyama Kenji Nishida K. Nakadai 132 1 0 15 Nov 2021
Attention Guided Cosine Margin For Overcoming Class-Imbalance in Few-Shot Road Object Detection Ashutosh Agarwal Anay Majee A. Subramanian Chetan Arora 32 4 0 12 Nov 2021
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding Qianying Liu Fei Cheng Sadao Kurohashi 41 1 0 10 Nov 2021
Gaussian Process Meta Few-shot Classifier Learning via Linear Discriminant Laplace Approximation Minyoung Kim Timothy M. Hospedales BDL 90 5 0 09 Nov 2021
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition Kai Wang Xialei Liu Andrew D. Bagdanov Luis Herranz Shang Rui Joost van de Weijer CLL VLM 88 9 0 09 Nov 2021
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning Fengyuan Yang Ruiping Wang Xilin Chen VLM 96 35 0 08 Nov 2021
A Relational Model for One-Shot Classification Arturs Polis Alexander Ilin BDL VLM 48 1 0 08 Nov 2021
Crowdsourcing with Meta-Workers: A New Way to Save the Budget Guangyang Han Guoxian Yu Li-zhen Cui C. Domeniconi Xiangliang Zhang OffRL 31 0 0 07 Nov 2021
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling Renrui Zhang Rongyao Fang Wei Zhang Peng Gao Kunchang Li Jifeng Dai Yu Qiao Hongsheng Li VLM 290 403 0 06 Nov 2021
Meta-Forecasting by combining Global Deep Representations with Local Adaptation Riccardo Grazzi Valentin Flunkert David Salinas Tim Januschowski Matthias Seeger Cédric Archambeau AI4TS AI4CE 64 7 0 05 Nov 2021
An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning Yun Yvonna Li Zhe Liu L. Yao Xianzhi Wang Julian McAuley Xiaojun Chang 85 22 0 03 Nov 2021
A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation Yuan-Hao Lee Fu-En Yang Yu-Chiang Frank Wang VLM 93 17 0 02 Nov 2021
Few-shot learning with improved local representations via bias rectify module Chao Dong Qi Ye Wenchao Meng Kaixiang Yang 14 2 0 01 Nov 2021
A Comparative Review of Recent Few-Shot Object Detection Algorithms Jiaxu Leng Taiyue Chen Gao Xinbo Yongtao Yu Ye Wang Feng Gao Wang Yue ObjD 94 16 0 30 Oct 2021
Domain Agnostic Few-Shot Learning For Document Intelligence J. Mandivarapu Eric Hunch G. Fung OOD VLM 74 1 0 29 Oct 2021
Meta Guided Metric Learner for Overcoming Class Confusion in Few-Shot Road Object Detection Anay Majee A. Subramanian Kshitij Agrawal 107 3 0 28 Oct 2021
A Survey of Self-Supervised and Few-Shot Object Detection Gabriel Huang I. Laradji David Vazquez Simon Lacoste-Julien Pau Rodríguez López ObjD 113 80 0 27 Oct 2021
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning Milad Abdollahzadeh Touba Malekzadeh Ngai-Man Cheung 67 29 0 27 Oct 2021
Non-Gaussian Gaussian Processes for Few-Shot Regression Marcin Sendera Jacek Tabor A. Nowak Andrzej Bedychaj Massimiliano Patacchiola Tomasz Trzciñski Przemysław Spurek Maciej Ziȩba 92 19 0 26 Oct 2021
Meta-Learning for Multi-Label Few-Shot Classification Christian Simon Piotr Koniusz Mehrtash Harandi 120 27 0 26 Oct 2021
Self-Denoising Neural Networks for Few Shot Learning S. Schwarcz Sai Saketh Rambhatla Ramalingam Chellappa 71 1 0 26 Oct 2021
Instant Response Few-shot Object Detection with Meta Strategy and Explicit Localization Inference Junying Huang Fan Chen Sibo Huang Dongyu Zhang ObjD 93 1 0 26 Oct 2021