ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1711.06025
  4. Cited By
Learning to Compare: Relation Network for Few-Shot Learning

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
ArXivPDFHTML

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

50 / 1,181 papers shown
Title
DGP-Net: Dense Graph Prototype Network for Few-Shot SAR Target
  Recognition
DGP-Net: Dense Graph Prototype Network for Few-Shot SAR Target Recognition
Xiangyu Zhou
Qian-ru Wei
Yuhui Zhang
27
0
0
19 Feb 2023
An Adaptive Plug-and-Play Network for Few-Shot Learning
An Adaptive Plug-and-Play Network for Few-Shot Learning
Hao Li
Li Li
Yun-Ya Huang
Ning Li
Yongtao Zhang
29
3
0
18 Feb 2023
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot
  Learning
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
Yu Fu
Yu Xie
Yanwei Fu
Yugang Jiang
30
31
0
18 Feb 2023
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named
  Entity Recognition
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition
Chengcheng Han
Renyu Zhu
Jun Kuang
Feng-Xiang Chen
Xiang Li
Ming Gao
Xuezhi Cao
Wei Wu
24
5
0
14 Feb 2023
A Systematic Evaluation and Benchmark for Embedding-Aware Generative
  Models: Features, Models, and Any-shot Scenarios
A Systematic Evaluation and Benchmark for Embedding-Aware Generative Models: Features, Models, and Any-shot Scenarios
Liangjun Feng
Jiancheng Zhao
Chunhui Zhao
VLM
32
0
0
08 Feb 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class
  Incremental Learning
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning
Yibo Yang
Haobo Yuan
Hefei Ling
Zhouchen Lin
Philip Torr
Dacheng Tao
CLL
34
96
0
06 Feb 2023
Linking data separation, visual separation, and classifier performance
  using pseudo-labeling by contrastive learning
Linking data separation, visual separation, and classifier performance using pseudo-labeling by contrastive learning
B. C. Benato
A. X. Falcão
A. Telea
27
4
0
06 Feb 2023
Meta-Learning Siamese Network for Few-Shot Text Classification
Meta-Learning Siamese Network for Few-Shot Text Classification
Chengcheng Han
Yuh-Shyang Wang
Yingnan Fu
Xiang Li
Minghui Qiu
Ming Gao
Aoying Zhou
VLM
22
4
0
05 Feb 2023
Efficient Gradient Approximation Method for Constrained Bilevel
  Optimization
Efficient Gradient Approximation Method for Constrained Bilevel Optimization
Siyuan Xu
Minghui Zhu
29
20
0
03 Feb 2023
Algorithm Design for Online Meta-Learning with Task Boundary Detection
Algorithm Design for Online Meta-Learning with Task Boundary Detection
Daouda Sow
Sen Lin
Yitao Liang
Junshan Zhang
OOD
48
1
0
02 Feb 2023
Learning Functional Transduction
Learning Functional Transduction
Mathieu Chalvidal
Thomas Serre
Rufin VanRullen
AI4CE
38
2
0
01 Feb 2023
Stable Attribute Group Editing for Reliable Few-shot Image Generation
Stable Attribute Group Editing for Reliable Few-shot Image Generation
Guanqi Ding
Xinzhe Han
Shuhui Wang
Xin Jin
Dandan Tu
Qingming Huang
29
9
0
01 Feb 2023
Contrastive Meta-Learning for Partially Observable Few-Shot Learning
Contrastive Meta-Learning for Partially Observable Few-Shot Learning
Adam Jelley
Amos Storkey
Antreas Antoniou
Sam Devlin
25
6
0
30 Jan 2023
Robust Meta Learning for Image based tasks
Robust Meta Learning for Image based tasks
Peng-Tao Jiang
Xin Ke
Zifeng Wang
Chunxi Li
OOD
UQCV
VLM
60
0
0
30 Jan 2023
A Closer Look at Few-shot Classification Again
A Closer Look at Few-shot Classification Again
Xu Luo
Hao Wu
Ji Zhang
Lianli Gao
Jing Xu
Jingkuan Song
24
48
0
28 Jan 2023
Meta Temporal Point Processes
Meta Temporal Point Processes
Wonho Bae
Mohamed Osama Ahmed
Frederick Tung
Gabriel L. Oliveira
AI4TS
22
18
0
27 Jan 2023
Open Problems in Applied Deep Learning
Open Problems in Applied Deep Learning
M. Raissi
AI4CE
42
2
0
26 Jan 2023
Invariant Meta Learning for Out-of-Distribution Generalization
Invariant Meta Learning for Out-of-Distribution Generalization
Peng-Tao Jiang
Ke Xin
Zifeng Wang
Chunxi Li
OOD
OODD
15
2
0
26 Jan 2023
Explore the Power of Dropout on Few-shot Learning
Explore the Power of Dropout on Few-shot Learning
Shaobo Lin
Xingyu Zeng
Rui Zhao
32
0
0
26 Jan 2023
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced
  Context-Aware Network
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network
Huafeng Liu
Pai Peng
Tao Chen
Qiong Wang
Yazhou Yao
Xiansheng Hua
38
52
0
19 Jan 2023
Exploiting Style Transfer-based Task Augmentation for Cross-Domain
  Few-Shot Learning
Exploiting Style Transfer-based Task Augmentation for Cross-Domain Few-Shot Learning
Shuzhen Rao
Jun Huang
Zengming Tang
22
2
0
19 Jan 2023
Concept Discovery for Fast Adapatation
Concept Discovery for Fast Adapatation
Shengyu Feng
Hanghang Tong
OffRL
28
0
0
19 Jan 2023
HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot
  Action Recognition
HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot Action Recognition
Xiang Wang
Shiwei Zhang
Zhiwu Qing
Zhe Zuo
Changxin Gao
Rong Jin
Nong Sang
31
23
0
09 Jan 2023
Few-shot Node Classification with Extremely Weak Supervision
Few-shot Node Classification with Extremely Weak Supervision
Song Wang
Yushun Dong
Kaize Ding
Chen Chen
Jundong Li
21
19
0
06 Jan 2023
Exploring Efficient Few-shot Adaptation for Vision Transformers
Exploring Efficient Few-shot Adaptation for Vision Transformers
C. Xu
Siqian Yang
Yabiao Wang
Zhanxiong Wang
Yanwei Fu
Xiangyang Xue
35
16
0
06 Jan 2023
Tracking Brand-Associated Polarity-Bearing Topics in User Reviews
Tracking Brand-Associated Polarity-Bearing Topics in User Reviews
Runcong Zhao
Lin Gui
Hanqi Yan
Yulan He
27
3
0
03 Jan 2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance
  Segmentation
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
Yue Han
Jiangning Zhang
Zhucun Xue
Chao Xu
Xintian Shen
Yabiao Wang
Chengjie Wang
Yong Liu
Xiangtai Li
40
17
0
03 Jan 2023
Vocabulary-informed Zero-shot and Open-set Learning
Vocabulary-informed Zero-shot and Open-set Learning
Yanwei Fu
Xiaomei Wang
Hanze Dong
Yu-Gang Jiang
Meng Wang
Xiangyang Xue
Leonid Sigal
VLM
21
18
0
03 Jan 2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor
  Few-Shot Classification
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification
Shuang Wang
Rui Ma
Tieru Wu
Yang Cao
25
5
0
02 Jan 2023
HIER: Metric Learning Beyond Class Labels via Hierarchical
  Regularization
HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization
Sungyeon Kim
Boseung Jung
Suha Kwak
25
15
0
29 Dec 2022
Generalization Bounds for Few-Shot Transfer Learning with Pretrained
  Classifiers
Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers
Tomer Galanti
András Gyorgy
Marcus Hutter
VLM
SSL
26
3
0
23 Dec 2022
Robust Meta-Representation Learning via Global Label Inference and
  Classification
Robust Meta-Representation Learning via Global Label Inference and Classification
Ruohan Wang
Isak Falk
Massimiliano Pontil
C. Ciliberto
36
3
0
22 Dec 2022
Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning
  Models
Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning Models
Niels Schlüsener
Michael Bücker
SLR
14
1
0
16 Dec 2022
Proposal Distribution Calibration for Few-Shot Object Detection
Proposal Distribution Calibration for Few-Shot Object Detection
Bohao Li
Chang-rui Liu
Mengnan Shi
Xiaozhong Chen
Xiang Ji
QiXiang Ye
ObjD
24
5
0
15 Dec 2022
Learning useful representations for shifting tasks and distributions
Learning useful representations for shifting tasks and distributions
Jianyu Zhang
Léon Bottou
OOD
34
13
0
14 Dec 2022
Federated Few-Shot Learning for Mobile NLP
Federated Few-Shot Learning for Mobile NLP
Dongqi Cai
Shangguang Wang
Yaozong Wu
F. Lin
Mengwei Xu
FedML
13
12
0
12 Dec 2022
Transductive Linear Probing: A Novel Framework for Few-Shot Node
  Classification
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification
Zhen Tan
Song Wang
Kaize Ding
Jundong Li
Huan Liu
24
26
0
11 Dec 2022
Cap2Aug: Caption guided Image to Image data Augmentation
Cap2Aug: Caption guided Image to Image data Augmentation
Aniket Roy
Anshul B. Shah
Ketul Shah
Anirban Roy
Rama Chellappa
DiffM
28
0
0
11 Dec 2022
Task-Adaptive Meta-Learning Framework for Advancing Spatial
  Generalizability
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability
Zhexiong Liu
Licheng Liu
Yiqun Xie
Zhenong Jin
X. Jia
26
7
0
10 Dec 2022
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition
Xin Ni
Yong Liu
Hao Wen
Yatai Ji
Jing Xiao
Yujiu Yang
37
9
0
09 Dec 2022
Learning Domain Invariant Prompt for Vision-Language Models
Learning Domain Invariant Prompt for Vision-Language Models
Cairong Zhao
Yubin Wang
Xinyang Jiang
Yifei Shen
Kaitao Song
Dongsheng Li
Duoqian Miao
VLM
VPVLM
19
23
0
08 Dec 2022
A Flexible Nadaraya-Watson Head Can Offer Explainable and Calibrated
  Classification
A Flexible Nadaraya-Watson Head Can Offer Explainable and Calibrated Classification
Alan Q. Wang
M. Sabuncu
30
5
0
07 Dec 2022
Mask Matching Transformer for Few-Shot Segmentation
Mask Matching Transformer for Few-Shot Segmentation
Siyu Jiao
Gengwei Zhang
Shant Navasardyan
Ling-Hao Chen
Yao-Min Zhao
Yunchao Wei
Humphrey Shi
34
27
0
05 Dec 2022
Meta-Shop: Improving Item Advertisement For Small Businesses
Meta-Shop: Improving Item Advertisement For Small Businesses
Yang Shi
Guannan Liang
Young-joo Chung
30
0
0
02 Dec 2022
Activating the Discriminability of Novel Classes for Few-shot
  Segmentation
Activating the Discriminability of Novel Classes for Few-shot Segmentation
Dianwen Mei
Wei Zhuo
Jiandong Tian
Guangming Lu
Wenjie Pei
VLM
35
0
0
02 Dec 2022
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot
  Image Classification
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification
Jijie Wu
Dongliang Chang
Aneeshan Sain
Xiaoxu Li
Zhanyu Ma
Jie Cao
Jun Guo
Yi-Zhe Song
19
35
0
30 Nov 2022
PatchMix Augmentation to Identify Causal Features in Few-shot Learning
PatchMix Augmentation to Identify Causal Features in Few-shot Learning
C. Xu
Chen Liu
Xinwei Sun
Siqian Yang
Yabiao Wang
Chengjie Wang
Yanwei Fu
24
16
0
29 Nov 2022
RankDNN: Learning to Rank for Few-shot Learning
RankDNN: Learning to Rank for Few-shot Learning
Qianyu Guo
Hongtong Gong
Xu Wei
Yanwei Fu
Weifeng Ge
Yizhou Yu
Wenqiang Zhang
27
14
0
28 Nov 2022
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning
Xiaoyue Duan
Guoliang Kang
Runqi Wang
Shumin Han
Shenjun Xue
Tian Wang
Baochang Zhang
29
2
0
28 Nov 2022
Multi-Modal Few-Shot Temporal Action Detection
Multi-Modal Few-Shot Temporal Action Detection
Sauradip Nag
Mengmeng Xu
Xiatian Zhu
Juan-Manuel Perez-Rua
Guohao Li
Yi-Zhe Song
Tao Xiang
VLM
30
6
0
27 Nov 2022
Previous
123...789...222324
Next