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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
Hierarchical Compositional Representations for Few-shot Action
  Recognition
Hierarchical Compositional Representations for Few-shot Action Recognition
Chang-bo Li
Jie Zhang
Shuzhe Wu
Xin Jin
Shiguang Shan
84
23
0
19 Aug 2022
Open Long-Tailed Recognition in a Dynamic World
Open Long-Tailed Recognition in a Dynamic World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
VLM
90
21
0
17 Aug 2022
Gradient-Based Meta-Learning Using Uncertainty to Weigh Loss for
  Few-Shot Learning
Gradient-Based Meta-Learning Using Uncertainty to Weigh Loss for Few-Shot Learning
Lin Ding
Peng Liu
Wenfeng Shen
Weijia Lu
Shengbo Chen
UQCV
34
3
0
17 Aug 2022
Constrained Few-Shot Learning: Human-Like Low Sample Complexity Learning
  and Non-Episodic Text Classification
Constrained Few-Shot Learning: Human-Like Low Sample Complexity Learning and Non-Episodic Text Classification
Jaron Mar
Jiamou Liu
84
2
0
17 Aug 2022
Cross-Domain Few-Shot Classification via Inter-Source Stylization
Cross-Domain Few-Shot Classification via Inter-Source Stylization
Huali Xu
Shuaifeng Zhi
Li Liu
100
4
0
17 Aug 2022
Hierarchical Attention Network for Few-Shot Object Detection via
  Meta-Contrastive Learning
Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive Learning
Dong Huk Park
Jongmin Lee
ObjD
92
11
0
15 Aug 2022
Bidirectional Feature Globalization for Few-shot Semantic Segmentation
  of 3D Point Cloud Scenes
Bidirectional Feature Globalization for Few-shot Semantic Segmentation of 3D Point Cloud Scenes
Yongqiang Mao
Zonghao Guo
Xiaonan Lu
Zhiqiang Yuan
Haowen Guo
3DPC
133
31
0
13 Aug 2022
Memorizing Complementation Network for Few-Shot Class-Incremental
  Learning
Memorizing Complementation Network for Few-Shot Class-Incremental Learning
Zhong Ji
Zhi Hou
Xiyao Liu
Yanwei Pang
Xuelong Li
CLL
76
48
0
11 Aug 2022
IDNP: Interest Dynamics Modeling using Generative Neural Processes for
  Sequential Recommendation
IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation
Jing Du
Zesheng Ye
Lina Yao
Bin Guo
Zhiwen Yu
AI4TS
68
13
0
09 Aug 2022
Convolutional Ensembling based Few-Shot Defect Detection Technique
Convolutional Ensembling based Few-Shot Defect Detection Technique
Soumyajit Karmakar
Abeer Banerjee
P. Gidde
Sumeet Saurav
S. Singh
UQCV
76
3
0
05 Aug 2022
Transformers as Meta-Learners for Implicit Neural Representations
Transformers as Meta-Learners for Implicit Neural Representations
Yinbo Chen
Xiaolong Wang
AI4CE
99
68
0
04 Aug 2022
Improving Meta-Learning Generalization with Activation-Based
  Early-Stopping
Improving Meta-Learning Generalization with Activation-Based Early-Stopping
Simon Guiroy
C. Pal
Gonçalo Mordido
Sarath Chandar
125
3
0
03 Aug 2022
A Survey of Learning on Small Data: Generalization, Optimization, and
  Challenge
A Survey of Learning on Small Data: Generalization, Optimization, and Challenge
Xiaofeng Cao
Weixin Bu
Sheng-Jun Huang
Minling Zhang
Ivor W. Tsang
Yew-Soon Ong
James T. Kwok
90
1
0
29 Jul 2022
Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale
  Feature Fusion
Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion
Gongjie Zhang
Zhipeng Luo
Jiaxing Huang
Shijian Lu
Eric Xing
ViT
98
21
0
28 Jul 2022
Equivariance and Invariance Inductive Bias for Learning from
  Insufficient Data
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data
Tan Wang
Qianru Sun
Sugiri Pranata
J. Karlekar
Hanwang Zhang
SSL
100
21
0
25 Jul 2022
Kernel Relative-prototype Spectral Filtering for Few-shot Learning
Kernel Relative-prototype Spectral Filtering for Few-shot Learning
Tao Zhang
Wu Huang
69
14
0
24 Jul 2022
Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object
  Detection
Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection
Shuang Wu
Wenjie Pei
Dianwen Mei
Fanglin Chen
Jiandong Tian
Guangming Lu
VLMObjD
68
31
0
22 Jul 2022
Few-shot Image Generation Using Discrete Content Representation
Few-shot Image Generation Using Discrete Content Representation
Y. Hong
Li Niu
Jianfu Zhang
Liqing Zhang
DiffM
79
11
0
22 Jul 2022
Inductive and Transductive Few-Shot Video Classification via Appearance
  and Temporal Alignments
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments
Khoi Duc Minh Nguyen
Quoc-Huy Tran
Khoi Nguyen
Binh-Son Hua
Rang Nguyen
116
29
0
21 Jul 2022
Pose for Everything: Towards Category-Agnostic Pose Estimation
Pose for Everything: Towards Category-Agnostic Pose Estimation
Lumin Xu
Sheng Jin
Wang Zeng
Wentao Liu
Chao Qian
Wanli Ouyang
Ping Luo
Xiaogang Wang
71
38
0
21 Jul 2022
DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific Delta
Y. Hong
Li Niu
Jianfu Zhang
Liqing Zhang
GAN
76
34
0
21 Jul 2022
Malware Triage Approach using a Task Memory based on Meta-Transfer
  Learning Framework
Malware Triage Approach using a Task Memory based on Meta-Transfer Learning Framework
Jinting Zhu
Julian Jang-Jaccard
I. Welch
Harith Al-Sahaf
S. Çamtepe
AAML
158
0
0
21 Jul 2022
Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification
Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification
Renrui Zhang
Zhang Wei
Rongyao Fang
Peng Gao
Kunchang Li
Jifeng Dai
Yu Qiao
Hongsheng Li
VLM
133
321
0
19 Jul 2022
Contributions of Shape, Texture, and Color in Visual Recognition
Contributions of Shape, Texture, and Color in Visual Recognition
Yunhao Ge
Yao Xiao
Zhi-Qin John Xu
Xingyu Wang
Laurent Itti
3DH
62
27
0
19 Jul 2022
Invariant Feature Learning for Generalized Long-Tailed Classification
Invariant Feature Learning for Generalized Long-Tailed Classification
Kaihua Tang
Mingyuan Tao
Jiaxin Qi
Zhenguang Liu
Hanwang Zhang
VLM
96
56
0
19 Jul 2022
Self-Supervision Can Be a Good Few-Shot Learner
Self-Supervision Can Be a Good Few-Shot Learner
Yuning Lu
Liangjiang Wen
Jianzhuang Liu
Yajing Liu
Xinmei Tian
SSL
101
37
0
19 Jul 2022
Few-shot Open-set Recognition Using Background as Unknowns
Few-shot Open-set Recognition Using Background as Unknowns
Nan Song
Chi Zhang
Guosheng Lin
VLMSSL
64
11
0
19 Jul 2022
Semantic Novelty Detection via Relational Reasoning
Semantic Novelty Detection via Relational Reasoning
Francesco Cappio Borlino
S. Bucci
Tatiana Tommasi
75
4
0
18 Jul 2022
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for
  Few-Shot Segmentation
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
Xinyu Shi
Dong Wei
Yu Zhang
Donghuan Lu
Munan Ning
Jiashun Chen
Kai Ma
Yefeng Zheng
55
105
0
18 Jul 2022
Few-shot Fine-grained Image Classification via Multi-Frequency
  Neighborhood and Double-cross Modulation
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation
Hegui Zhu
Zhan Gao
Jiayi Wang
Yangqiaoyu Zhou
Chengqing Li
108
7
0
18 Jul 2022
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain
  Few-Shot Facial Expression Recognition
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition
Xinyi Zou
Y. Yan
Jing-Hao Xue
Si Chen
Hanzi Wang
CVBM
114
12
0
16 Jul 2022
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and
  Aligned Representations
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations
Wentao Chen
Zheng Zhang
Wei Wang
Liang Wang
Zilei Wang
Tieniu Tan
69
10
0
16 Jul 2022
Feed-Forward Latent Domain Adaptation
Feed-Forward Latent Domain Adaptation
Ondrej Bohdal
Da Li
S. Hu
Timothy M. Hospedales
OOD
69
1
0
15 Jul 2022
Registration based Few-Shot Anomaly Detection
Registration based Few-Shot Anomaly Detection
Chaoqin Huang
Haoyan Guan
Aofan Jiang
Ya Zhang
Michael W. Spratling
Yanfeng Wang
92
149
0
15 Jul 2022
Fine-grained Few-shot Recognition by Deep Object Parsing
Fine-grained Few-shot Recognition by Deep Object Parsing
Ruizhao Zhu
Pengkai Zhu
Samarth Mishra
Venkatesh Saligrama
91
0
0
14 Jul 2022
Tree Structure-Aware Few-Shot Image Classification via Hierarchical
  Aggregation
Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation
Hao Fei
Siteng Huang
Wenbin Li
Donglin Wang
VLM
74
34
0
14 Jul 2022
Semi-supervised cross-lingual speech emotion recognition
Semi-supervised cross-lingual speech emotion recognition
Mirko Agarla
Simone Bianco
Luigi Celona
Paolo Napoletano
A. Petrovsky
Flavio Piccoli
Raimondo Schettini
I. Shanin
73
15
0
14 Jul 2022
Transferability-Guided Cross-Domain Cross-Task Transfer Learning
Transferability-Guided Cross-Domain Cross-Task Transfer Learning
Yang Tan
Enming Zhang
Yang Li
Shao-Lun Huang
Xiaoping Zhang
OT
116
12
0
12 Jul 2022
MetaAge: Meta-Learning Personalized Age Estimators
MetaAge: Meta-Learning Personalized Age Estimators
Wanhua Li
Jiwen Lu
Abudukelimu Wuerkaixi
Jianjiang Feng
Jie Zhou
73
11
0
12 Jul 2022
SHREC'22 Track: Sketch-Based 3D Shape Retrieval in the Wild
SHREC'22 Track: Sketch-Based 3D Shape Retrieval in the Wild
Jie Qin
Shuaihang Yuan
Jiaxin Chen
Boulbaba Ben Amor
Yi Fang
...
Haiqin Chen
Yan Wang
Qunying Zhou
Ji Zhang
Hongyu Wang
3DV
80
9
0
11 Jul 2022
Continual Few-Shot Learning with Adversarial Class Storage
Continual Few-Shot Learning with Adversarial Class Storage
Kun Wu
Chengxiang Yin
Jian Tang
Zhiyuan Xu
Yanzhi Wang
Dejun Yang
BDLVLMCLL
44
1
0
10 Jul 2022
Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic
  Meta-Learning
Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning
Guodong Liu
Tongling Wang
Shuoxi Zhang
Kun He
101
1
0
09 Jul 2022
Boosting Zero-shot Learning via Contrastive Optimization of Attribute
  Representations
Boosting Zero-shot Learning via Contrastive Optimization of Attribute Representations
Yu Du
Miaojing Shi
Fangyun Wei
Guoqi Li
VLM
121
15
0
08 Jul 2022
Few-Example Clustering via Contrastive Learning
Few-Example Clustering via Contrastive Learning
M-U Jang
Sae-Young Chung
38
0
0
08 Jul 2022
FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
P. JishnuJaykumar
Yu-Wei Chao
Yu Xiang
70
11
0
06 Jul 2022
ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy
ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy
D. Zeng
Tailin Wu
J. Leskovec
GNN
108
1
0
04 Jul 2022
Task Discrepancy Maximization for Fine-grained Few-Shot Classification
Task Discrepancy Maximization for Fine-grained Few-Shot Classification
Subeen Lee
WonJun Moon
Jae-Pil Heo
81
47
0
04 Jul 2022
Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning
Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning
Jinze Li
Yan Bai
Yihang Lou
Xiongkun Linghu
Jianzhong He
Shaoyun Xu
Tao Bai
VLMCLL
82
2
0
03 Jul 2022
Learning Cross-Image Object Semantic Relation in Transformer for
  Few-Shot Fine-Grained Image Classification
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification
Bo Zhang
Jiakang Yuan
Baopu Li
Tao Chen
Jiayuan Fan
Botian Shi
ViT
121
34
0
02 Jul 2022
Informed Learning by Wide Neural Networks: Convergence, Generalization
  and Sampling Complexity
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity
Jianyi Yang
Shaolei Ren
78
3
0
02 Jul 2022
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