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Learning to Compare: Relation Network for Few-Shot Learning
v1v2 (latest)

Learning to Compare: Relation Network for Few-Shot Learning

16 November 2017
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
ArXiv (abs)PDFHTML

Papers citing "Learning to Compare: Relation Network for Few-Shot Learning"

50 / 1,567 papers shown
Title
Data-driven Modeling in Metrology -- A Short Introduction, Current
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Data-driven Modeling in Metrology -- A Short Introduction, Current Developments and Future Perspectives
Linda-Sophie Schneider
Patrick Krauss
N. Schiering
Christopher Syben
Richard Schielein
Andreas Maier
AI4CE
86
3
0
24 Jun 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware
  Prompting
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
Tiange Zhang
Qing Cai
Feng Gao
Lin Qi
Junyu Dong
96
2
0
24 Jun 2024
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting
  with Proxy Data
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data
Zexing Xu
Linjun Zhang
Sitan Yang
Rasoul Etesami
Hanghang Tong
Huan Zhang
Jiawei Han
AI4TS
78
4
0
23 Jun 2024
Camera-Invariant Meta-Learning Network for Single-Camera-Training Person
  Re-identification
Camera-Invariant Meta-Learning Network for Single-Camera-Training Person Re-identification
Jiangbo Pei
Zhuqing Jiang
Aidong Men
Haiying Wang
Haiyong Luo
Shiping Wen
3DPC
90
0
0
21 Jun 2024
Learning from Exemplars for Interactive Image Segmentation
Learning from Exemplars for Interactive Image Segmentation
Kun Li
Hao Cheng
G. Vosselman
Michael Ying Yang
VLM
55
1
0
17 Jun 2024
Mining Open Semantics from CLIP: A Relation Transition Perspective for
  Few-Shot Learning
Mining Open Semantics from CLIP: A Relation Transition Perspective for Few-Shot Learning
Cilin Yan
Haochen Wang
Xiaolong Jiang
Feng-Long Xie
Xu Tang
Guoliang Kang
E. Gavves
VLM
79
0
0
17 Jun 2024
SCAR: Efficient Instruction-Tuning for Large Language Models via Style
  Consistency-Aware Response Ranking
SCAR: Efficient Instruction-Tuning for Large Language Models via Style Consistency-Aware Response Ranking
Zhuang Li
Yuncheng Hua
Thuy-Trang Vu
Haolan Zhan
Zhuang Li
Gholamreza Haffari
84
2
0
16 Jun 2024
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
Guangtao Zheng
Wenqian Ye
Aidong Zhang
103
3
0
15 Jun 2024
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation
Yong Wu
Yang Wang
Sanqing Qu
Zhijun Li
Guang Chen
105
1
0
13 Jun 2024
Meta-Learning Neural Procedural Biases
Meta-Learning Neural Procedural Biases
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhan
105
1
0
12 Jun 2024
Latent Representation Matters: Human-like Sketches in One-shot Drawing
  Tasks
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks
Victor Boutin
Rishav Mukherji
Aditya Agrawal
Sabine Muzellec
Thomas Fel
Thomas Serre
Rufin VanRullen
DiffM
135
1
0
10 Jun 2024
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A
  Meta-Learning Approach
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach
Georgios Tsoumplekas
C. Athanasiadis
Dimitrios I. Doukas
Antonios C. Chrysopoulos
P. Mitkas
AI4TS
98
3
0
09 Jun 2024
Anomaly Multi-classification in Industrial Scenarios: Transferring
  Few-shot Learning to a New Task
Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task
Jie Liu
Yao Wu
Xiaotong Luo
Zongze Wu
95
0
0
09 Jun 2024
Graph Mining under Data scarcity
Graph Mining under Data scarcity
Appan Rakaraddi
Lam Siew-Kei
Mahardhika Pratama
Marcus Vinícius de Carvalho
BDL
82
0
0
07 Jun 2024
Multimodal Cross-Domain Few-Shot Learning for Egocentric Action
  Recognition
Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition
Masashi Hatano
Ryo Hachiuma
Ryoske Fujii
Hideo Saito
EgoV
98
4
0
30 May 2024
The Battle of LLMs: A Comparative Study in Conversational QA Tasks
The Battle of LLMs: A Comparative Study in Conversational QA Tasks
Aryan Rangapur
Aman Rangapur
ELM
69
8
0
28 May 2024
Potential Field Based Deep Metric Learning
Potential Field Based Deep Metric Learning
Shubhang Bhatnagar
Narendra Ahuja
131
1
0
28 May 2024
Unsupervised Meta-Learning via In-Context Learning
Unsupervised Meta-Learning via In-Context Learning
Anna Vettoruzzo
Lorenzo Braccaioli
Joaquin Vanschoren
M. Nowaczyk
SSL
124
1
0
25 May 2024
Layout Agnostic Human Activity Recognition in Smart Homes through
  Textual Descriptions Of Sensor Triggers (TDOST)
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
81
5
0
20 May 2024
Perturbing the Gradient for Alleviating Meta Overfitting
Perturbing the Gradient for Alleviating Meta Overfitting
Manas Gogoi
Sambhavi Tiwari
Shekhar Verma
107
1
0
20 May 2024
Rethinking Prior Information Generation with CLIP for Few-Shot
  Segmentation
Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation
Jin Wang
Bingfeng Zhang
Jian Pang
Honglong Chen
Weifeng Liu
VLM
85
6
0
14 May 2024
Data-Efficient and Robust Task Selection for Meta-Learning
Data-Efficient and Robust Task Selection for Meta-Learning
Donglin Zhan
James Anderson
OOD
91
2
0
11 May 2024
Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot
  Class-Incremental Learning
Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning
Haichen Zhou
Yixiong Zou
Ruixuan Li
Yuhua Li
Kui Xiao
96
1
0
08 May 2024
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text
  Classification via Anchor Generation and Classification Reframing
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
37
3
0
06 May 2024
Class-relevant Patch Embedding Selection for Few-Shot Image
  Classification
Class-relevant Patch Embedding Selection for Few-Shot Image Classification
Weihao Jiang
Haoyang Cui
Kun He
VLM
74
0
0
06 May 2024
Accelerating Convergence in Bayesian Few-Shot Classification
Accelerating Convergence in Bayesian Few-Shot Classification
Tianjun Ke
Haoqun Cao
Feng Zhou
101
0
0
02 May 2024
Deep Metric Learning-Based Out-of-Distribution Detection with Synthetic
  Outlier Exposure
Deep Metric Learning-Based Out-of-Distribution Detection with Synthetic Outlier Exposure
Assefa Seyoum Wahd
132
0
0
01 May 2024
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious
  Correlation
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
Min Zhang
Haoxuan Li
Leilei Gan
Kun Kuang
OODD
84
12
0
30 Apr 2024
UniFS: Universal Few-shot Instance Perception with Point Representations
UniFS: Universal Few-shot Instance Perception with Point Representations
Sheng Jin
Ruijie Yao
Lumin Xu
Wentao Liu
Chao Qian
Ji Wu
Ping Luo
115
2
0
30 Apr 2024
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer
  Learning for Skin Disease Classification in Long-Tail Distribution
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
83
0
0
25 Apr 2024
Revisiting Relevance Feedback for CLIP-based Interactive Image Retrieval
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
60
2
0
25 Apr 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Yun Yue
Fangzhou Lin
Guanyi Mou
Ziming Zhang
SSL
76
2
0
23 Apr 2024
Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping
  through Zero-shot Foundation Models
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
78
2
0
19 Apr 2024
Meta-Auxiliary Learning for Micro-Expression Recognition
Meta-Auxiliary Learning for Micro-Expression Recognition
Wenwen Qiang
Yunhan Tian
Yuxuan Yang
Xiaoxin Chen
Changwen Zheng
Jingyao Wang
179
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0
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Context-Aware Siamese Networks for Efficient Emotion Recognition in
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Barbara Gendron
Gaël Guibon
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FCert: Certifiably Robust Few-Shot Classification in the Era of
  Foundation Models
FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models
Yanting Wang
Wei Zou
Jinyuan Jia
90
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0
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Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning
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
89
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0
05 Apr 2024
Prompt Learning via Meta-Regularization
Prompt Learning via Meta-Regularization
Jinyoung Park
Juyeon Ko
Hyunwoo J. Kim
VLMVPVLM
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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
80
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31 Mar 2024
Few-shot Online Anomaly Detection and Segmentation
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Shenxing Wei
Xing Wei
Zhiheng Ma
Songlin Dong
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Yihong Gong
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27 Mar 2024
Self-Supervised Learning for Medical Image Data with Anatomy-Oriented
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Tianwei Zhang
Dong Wei
Mengmeng Zhua
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Yefeng Zheng
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EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real World
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Guo Chen
Jilan Xu
Mingfang Zhang
Lijin Yang
...
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Lu Dong
Yali Wang
Limin Wang
Yu Qiao
EgoV
143
48
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Convection-Diffusion Equation: A Theoretically Certified Framework for
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Tangjun Wang
Chenglong Bao
Zuoqiang Shi
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76
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Neural Plasticity-Inspired Multimodal Foundation Model for Earth
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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
117
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Workload Estimation for Unknown Tasks: A Survey of Machine Learning
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Josh Bhagat Smith
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VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning
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Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify
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Wei-Chen Chiu
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Query-guided Prototype Evolution Network for Few-Shot Segmentation
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Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and
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Hong Chang
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