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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
Attribute Group Editing for Reliable Few-shot Image Generation
Attribute Group Editing for Reliable Few-shot Image Generation
Guanqi Ding
Xinzhe Han
Shuhui Wang
Shuzhe Wu
Xin Jin
Dandan Tu
Qingming Huang
GAN
81
22
0
16 Mar 2022
Beyond Explaining: Opportunities and Challenges of XAI-Based Model
  Improvement
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement
Leander Weber
Sebastian Lapuschkin
Alexander Binder
Wojciech Samek
109
103
0
15 Mar 2022
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning
Rui Xu
Lei Xing
Shuai Shao
Lifei Zhao
Baodi Liu
Weifeng Liu
Yicong Zhou
104
23
0
15 Mar 2022
Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain
  Few-Shot Learning
Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning
Yuqian Fu
Yu Xie
Yanwei Fu
Jingjing Chen
Yu-Gang Jiang
73
20
0
15 Mar 2022
Learning What Not to Segment: A New Perspective on Few-Shot Segmentation
Learning What Not to Segment: A New Perspective on Few-Shot Segmentation
Chunbo Lang
Gong Cheng
Binfei Tu
Junwei Han
96
206
0
15 Mar 2022
Forward Compatible Few-Shot Class-Incremental Learning
Forward Compatible Few-Shot Class-Incremental Learning
Da-Wei Zhou
Fu Lee Wang
Han-Jia Ye
Liang Ma
Shiliang Pu
De-Chuan Zhan
CLL
91
184
0
14 Mar 2022
Accelerating DETR Convergence via Semantic-Aligned Matching
Accelerating DETR Convergence via Semantic-Aligned Matching
Gongjie Zhang
Zhipeng Luo
Yingchen Yu
Kaiwen Cui
Shijian Lu
ViT
113
101
0
14 Mar 2022
Worst Case Matters for Few-Shot Recognition
Worst Case Matters for Few-Shot Recognition
Minghao Fu
Yunhao Cao
Jianxin Wu
67
7
0
13 Mar 2022
Non-generative Generalized Zero-shot Learning via Task-correlated
  Disentanglement and Controllable Samples Synthesis
Non-generative Generalized Zero-shot Learning via Task-correlated Disentanglement and Controllable Samples Synthesis
Yaogong Feng
Xiaowen Huang
Pengbo Yang
Jian Yu
Jitao Sang
DiffM
67
30
0
10 Mar 2022
What Matters For Meta-Learning Vision Regression Tasks?
What Matters For Meta-Learning Vision Regression Tasks?
Ni Gao
Hanna Ziesche
Ngo Anh Vien
Michael Volpp
Gerhard Neumann
VLM
68
29
0
09 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Archit Parnami
Minwoo Lee
MQ
114
168
0
07 Mar 2022
Feature Transformation for Cross-domain Few-shot Remote Sensing Scene
  Classification
Feature Transformation for Cross-domain Few-shot Remote Sensing Scene Classification
Qiaoli Chen
Zhihao Chen
Wei Luo
110
5
0
04 Mar 2022
WPNAS: Neural Architecture Search by jointly using Weight Sharing and
  Predictor
WPNAS: Neural Architecture Search by jointly using Weight Sharing and Predictor
Ke Lin
A. Yong
Zhuoxin Gan
Yingying Jiang
52
0
0
04 Mar 2022
Continuous-Time Meta-Learning with Forward Mode Differentiation
Continuous-Time Meta-Learning with Forward Mode Differentiation
T. Deleu
David Kanaa
Leo Feng
Giancarlo Kerg
Yoshua Bengio
Guillaume Lajoie
Pierre-Luc Bacon
90
19
0
02 Mar 2022
InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal
  Multiview Sensory Input
InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input
Oren Spector
Vladimir Tchuiev
Dotan Di Castro
85
24
0
02 Mar 2022
Interpretable Concept-based Prototypical Networks for Few-Shot Learning
Interpretable Concept-based Prototypical Networks for Few-Shot Learning
M. Zarei
Majid Komeili
68
4
0
27 Feb 2022
3DRM:Pair-wise relation module for 3D object detection
3DRM:Pair-wise relation module for 3D object detection
Yuqing Lan
Yao Duan
Yifei Shi
Hui Huang
Kai Xu
3DPC
44
4
0
20 Feb 2022
ARM3D: Attention-based relation module for indoor 3D object detection
ARM3D: Attention-based relation module for indoor 3D object detection
Yuqing Lan
Yao Duan
Chenyi Liu
Chenyang Zhu
Yueshan Xiong
Hui Huang
Kai Xu
ViT3DPC
96
19
0
20 Feb 2022
P4E: Few-Shot Event Detection as Prompt-Guided Identification and
  Localization
P4E: Few-Shot Event Detection as Prompt-Guided Identification and Localization
Sha Li
Liyuan Liu
Yiqing Xie
Heng Ji
Jiawei Han
119
4
0
15 Feb 2022
Cross Domain Few-Shot Learning via Meta Adversarial Training
Cross Domain Few-Shot Learning via Meta Adversarial Training
Jirui Qi
Richong Zhang
Chune Li
Yongyi Mao
39
3
0
11 Feb 2022
Spectral Propagation Graph Network for Few-shot Time Series
  Classification
Spectral Propagation Graph Network for Few-shot Time Series Classification
Ling Yang
linda Qiao
Luxia Zhang
68
2
0
08 Feb 2022
MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation
MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation
Yuntao Du
Xinjun Zhu
Lu Chen
Ziquan Fang
Yunjun Gao
VLMOffRL
66
50
0
08 Feb 2022
JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity
  Detection using Zero and One-Shot Learning
JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot Learning
Yash Jakhotiya
Vaibhav Kumar
Ashwin Pathak
Raj Sanjay Shah
26
1
0
04 Feb 2022
Distribution Embedding Networks for Generalization from a Diverse Set of
  Classification Tasks
Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks
Lang Liu
M. M. Fard
Sen Zhao
OOD
81
5
0
04 Feb 2022
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity
  and Few-Shot Difficulty
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
Jaehoon Oh
Sungnyun Kim
Namgyu Ho
Jin-Hwa Kim
Hwanjun Song
Se-Young Yun
65
38
0
01 Feb 2022
Fully Online Meta-Learning Without Task Boundaries
Fully Online Meta-Learning Without Task Boundaries
Jathushan Rajasegaran
Chesea Finn
Sergey Levine
CLL
57
4
0
01 Feb 2022
Compositional Multi-Object Reinforcement Learning with Linear Relation
  Networks
Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
Davide Mambelli
Frederik Trauble
Stefan Bauer
Bernhard Schölkopf
Francesco Locatello
OCL
88
17
0
31 Jan 2022
A Survey on Visual Transfer Learning using Knowledge Graphs
A Survey on Visual Transfer Learning using Knowledge Graphs
Sebastian Monka
Lavdim Halilaj
Achim Rettinger
118
23
0
27 Jan 2022
The Effect of Diversity in Meta-Learning
The Effect of Diversity in Meta-Learning
Ramnath Kumar
T. Deleu
Yoshua Bengio
76
13
0
27 Jan 2022
Grad2Task: Improved Few-shot Text Classification Using Gradients for
  Task Representation
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation
Jixuan Wang
Kuan-Chieh Wang
Frank Rudzicz
M. Brudno
VLM
61
22
0
27 Jan 2022
Cross-Domain Few-Shot Graph Classification
Cross-Domain Few-Shot Graph Classification
Kaveh Hassani
107
32
0
20 Jan 2022
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and
  Alternate Learning Framework
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework
Xinyi Zou
Y. Yan
Jing-Hao Xue
Si Chen
Hanzi Wang
87
15
0
18 Jan 2022
Multi-level Second-order Few-shot Learning
Multi-level Second-order Few-shot Learning
Hongguang Zhang
Hongdong Li
Piotr Koniusz
98
35
0
15 Jan 2022
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain,
  Active and Continual Few-Shot Learning
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning
Peyman Bateni
Jarred Barber
Raghav Goyal
Vaden Masrani
Jan-Willem van de Meent
Leonid Sigal
Frank Wood
BDLVLM
93
9
0
13 Jan 2022
MetaDance: Few-shot Dancing Video Retargeting via Temporal-aware
  Meta-learning
MetaDance: Few-shot Dancing Video Retargeting via Temporal-aware Meta-learning
Yuying Ge
Yibing Song
Ruimao Zhang
Ping Luo
VGenDiffM
37
0
0
13 Jan 2022
HyperTransformer: Model Generation for Supervised and Semi-Supervised
  Few-Shot Learning
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning
A. Zhmoginov
Mark Sandler
Max Vladymyrov
ViT
77
69
0
11 Jan 2022
Semantics-driven Attentive Few-shot Learning over Clean and Noisy
  Samples
Semantics-driven Attentive Few-shot Learning over Clean and Noisy Samples
Orhun Bugra Baran
Ramazan Gokberk Cinbics
66
4
0
09 Jan 2022
A Unified Framework for Attention-Based Few-Shot Object Detection
A Unified Framework for Attention-Based Few-Shot Object Detection
Pierre Le Jeune
Anissa Zergaïnoh-Mokraoui
ObjD
80
2
0
06 Jan 2022
Discrete and continuous representations and processing in deep learning:
  Looking forward
Discrete and continuous representations and processing in deep learning: Looking forward
Ruben Cartuyvels
Graham Spinks
Marie-Francine Moens
OCL
91
20
0
04 Jan 2022
On the Role of Neural Collapse in Transfer Learning
On the Role of Neural Collapse in Transfer Learning
Tomer Galanti
András Gyorgy
Marcus Hutter
SSL
90
93
0
30 Dec 2021
Feature-context driven Federated Meta-Learning for Rare Disease
  Prediction
Feature-context driven Federated Meta-Learning for Rare Disease Prediction
Bingyang Chen
Tao Chen
Xingjie Zeng
Weishan Zhang
Qinghua Lu
Zhaoxiang Hou
Jiehan Zhou
A. Helal
FedML
60
1
0
29 Dec 2021
Associative Adversarial Learning Based on Selective Attack
Associative Adversarial Learning Based on Selective Attack
Runqi Wang
Xiaoyue Duan
Baochang Zhang
Shenjun Xue
Wentao Zhu
David Doermann
G. Guo
AAML
72
0
0
28 Dec 2021
MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale
  Recommendation Scenarios
MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios
Xiaofeng Pan
Ming Li
Jing Zhang
Keren Yu
Luping Wang
Hong Wen
Chengjun Mao
Bo Cao
69
8
0
27 Dec 2021
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning
  Across Visual Domains
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains
Yuan Cheng
Ci-Siang Lin
Fu-En Yang
Yu-Chiang Frank Wang
64
2
0
27 Dec 2021
Learning Aligned Cross-Modal Representation for Generalized Zero-Shot
  Classification
Learning Aligned Cross-Modal Representation for Generalized Zero-Shot Classification
Zhiyu Fang
Xiaobin Zhu
Chun Yang
Zheng Han
Jingyan Qin
Xu-Cheng Yin
74
17
0
24 Dec 2021
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so
  Naïve
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve
Lei Wang
Jun Liu
Piotr Koniusz
96
21
0
23 Dec 2021
Dual Path Structural Contrastive Embeddings for Learning Novel Objects
Dual Path Structural Contrastive Embeddings for Learning Novel Objects
Bingbin Li
E. Cui
Yanan Li
Donghui Wang
Weng Kee Wong
38
1
0
23 Dec 2021
Few-Shot Object Detection: A Comprehensive Survey
Few-Shot Object Detection: A Comprehensive Survey
Mona Köhler
M. Eisenbach
H. Groß
ObjD
94
67
0
22 Dec 2021
Translational Concept Embedding for Generalized Compositional Zero-shot
  Learning
Translational Concept Embedding for Generalized Compositional Zero-shot Learning
He Huang
Wei Tang
Jiawei Zhang
Philip S. Yu
CoGe
46
2
0
20 Dec 2021
Query Adaptive Few-Shot Object Detection with Heterogeneous Graph
  Convolutional Networks
Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks
G. Han
Yicheng He
Shiyuan Huang
Jiawei Ma
Shih-Fu Chang
ObjD
137
104
0
17 Dec 2021
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