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
Ranking Distance Calibration for Cross-Domain Few-Shot Learning Pan Li S. Gong Chengjie Wang Yanwei Fu 29 32 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 25 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 21 42 0 29 Nov 2021
Improving traffic sign recognition by active search Sami Jaghouar Hannes Gustafsson Bernhard Mehlig Erik Werner N. Gustafsson 33 0 0 29 Nov 2021
Using Fictitious Class Representations to Boost Discriminative Zero-Shot Learners Mohammed Dabbah Ran El-Yaniv 22 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 22 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 29 82 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 16 5 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 12 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 33 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 29 0 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 19 4 0 12 Nov 2021
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding Qianying Liu Fei Cheng Sadao Kurohashi 17 1 0 10 Nov 2021
Gaussian Process Meta Few-shot Classifier Learning via Linear Discriminant Laplace Approximation Minyoung Kim Timothy M. Hospedales BDL 20 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 36 9 0 09 Nov 2021
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning Fengyuan Yang Ruiping Wang Xilin Chen VLM 39 35 0 08 Nov 2021
A Relational Model for One-Shot Classification Arturs Polis Alexander Ilin BDL VLM 29 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 22 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 196 387 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 41 6 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 34 21 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 15 17 0 02 Nov 2021
Few-shot learning with improved local representations via bias rectify module Chao Dong Qi Ye Wenchao Meng Kaixiang Yang 4 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 26 15 0 30 Oct 2021
Domain Agnostic Few-Shot Learning For Document Intelligence J. Mandivarapu Eric Hunch G. Fung OOD VLM 36 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 29 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 32 79 0 27 Oct 2021
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning Milad Abdollahzadeh Touba Malekzadeh Ngai-man Cheung 28 28 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 23 19 0 26 Oct 2021
Meta-Learning for Multi-Label Few-Shot Classification Christian Simon Piotr Koniusz Mehrtash Harandi 18 25 0 26 Oct 2021
Self-Denoising Neural Networks for Few Shot Learning S. Schwarcz Sai Saketh Rambhatla Ramalingam Chellappa 30 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 24 1 0 26 Oct 2021
Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-Learning Andrei Boiarov K. Khabarlak Igor Yastrebov 44 0 0 25 Oct 2021
A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark Zhenxi Zhu Limin Wang Sheng Guo Gangshan Wu 45 32 0 24 Oct 2021
Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples Y. Tan Penny Chong Jiamei Sun Ngai-man Cheung Yuval Elovici Alexander Binder AAML 37 0 0 24 Oct 2021
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation Giorgio Giannone Fattane Pourakpour DRL BDL 22 10 0 23 Oct 2021
GCCN: Global Context Convolutional Network Ali Hamdi Flora D. Salim D. Kim 12 1 0 22 Oct 2021
Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation A. Tavera Fabio Cermelli Carlo Masone Barbara Caputo 29 19 0 22 Oct 2021
On Hard Episodes in Meta-Learning S. Basu Amr Sharaf Nicolò Fusi S. Feizi 8 1 0 21 Oct 2021
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning Linlan Zhao Dashan Guo Yunlu Xu Liang Qiao Zhanzhan Cheng Shiliang Pu Yi Niu Xi Fang CLL 34 2 0 21 Oct 2021
Few-Shot Temporal Action Localization with Query Adaptive Transformer Sauradip Nag Xiatian Zhu Tao Xiang 11 19 0 20 Oct 2021
Contextual Gradient Scaling for Few-Shot Learning Sang Hyuk Lee Seunghyun Lee B. Song 22 6 0 20 Oct 2021
Who calls the shots? Rethinking Few-Shot Learning for Audio Yu Wang Nicholas J. Bryan Justin Salamon M. Cartwright J. P. Bello VLM 21 25 0 18 Oct 2021
Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning Uche M. Osahor Nasser M. Nasrabadi 19 11 0 18 Oct 2021
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression Chenhe Dong Yaliang Li Ying Shen Minghui Qiu VLM 43 7 0 16 Oct 2021
Meta-Learning with Adjoint Methods Shibo Li Zheng Wang A. Narayan Robert M. Kirby Shandian Zhe 20 4 0 16 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 36 11 0 14 Oct 2021
Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules Rangeet Pan Hridesh Rajan MoMe 16 30 0 11 Oct 2021
A Closer Look at Prototype Classifier for Few-shot Image Classification Mingcheng Hou Issei Sato VLM 31 21 0 11 Oct 2021
Using Human-Guided Causal Knowledge for More Generalized Robot Task Planning Semir Tatlidil Yanqi Liu Emily Sheetz R. I. Bahar Steven Sloman Brown University 24 0 0 09 Oct 2021