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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 / 1,226 papers shown
Title
The Self-Optimal-Transport Feature Transform
The Self-Optimal-Transport Feature Transform
Daniel Shalam
Simon Korman
OT
24
22
0
06 Apr 2022
"This is my unicorn, Fluffy": Personalizing frozen vision-language
  representations
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations
Niv Cohen
Rinon Gal
E. Meirom
Gal Chechik
Y. Atzmon
VLM
MLLM
56
83
0
04 Apr 2022
Matching Feature Sets for Few-Shot Image Classification
Matching Feature Sets for Few-Shot Image Classification
Arman Afrasiyabi
Hugo Larochelle
Jean-François Lalonde
Christian Gagné
VLM
33
72
0
02 Apr 2022
AutoProtoNet: Interpretability for Prototypical Networks
AutoProtoNet: Interpretability for Prototypical Networks
Pedro Sandoval Segura
W. Lawson
20
2
0
02 Apr 2022
On the Efficiency of Integrating Self-supervised Learning and
  Meta-learning for User-defined Few-shot Keyword Spotting
On the Efficiency of Integrating Self-supervised Learning and Meta-learning for User-defined Few-shot Keyword Spotting
Wei-Tsung Kao
Yue Wu
Chia-Ping Chen
Zhi-Sheng Chen
Yu-Pao Tsai
Hung-yi Lee
16
7
0
01 Apr 2022
Improved Relation Networks for End-to-End Speaker Verification and
  Identification
Improved Relation Networks for End-to-End Speaker Verification and Identification
Ashutosh Chaubey
Sparsh Sinha
Susmita Ghose
25
3
0
31 Mar 2022
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
Da-Wei Zhou
Han-Jia Ye
Liang Ma
Di Xie
Shiliang Pu
De-Chuan Zhan
CLL
19
119
0
31 Mar 2022
Overcoming challenges in leveraging GANs for few-shot data augmentation
Overcoming challenges in leveraging GANs for few-shot data augmentation
Christopher Beckham
I. Laradji
Pau Rodríguez López
David Vazquez
Derek Nowrouzezahrai
C. Pal
10
1
0
30 Mar 2022
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic
  descriptions, and Conceptual Relations
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations
Lingjie Mei
Jiayuan Mao
Ziqi Wang
Chuang Gan
J. Tenenbaum
VLM
29
21
0
30 Mar 2022
Semantic Line Detection Using Mirror Attention and Comparative Ranking
  and Matching
Semantic Line Detection Using Mirror Attention and Comparative Ranking and Matching
Dongkwon Jin
Jun-Tae Lee
Chang-Su Kim
33
11
0
29 Mar 2022
Few-Shot Object Detection with Fully Cross-Transformer
Few-Shot Object Detection with Fully Cross-Transformer
G. Han
Jiawei Ma
Shiyuan Huang
Long Chen
Shih-Fu Chang
37
130
0
28 Mar 2022
Learning to Prompt for Open-Vocabulary Object Detection with
  Vision-Language Model
Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model
Yu Du
Fangyun Wei
Zihe Zhang
Miaojing Shi
Yue Gao
Guoqi Li
VPVLM
VLM
31
322
0
28 Mar 2022
A Framework of Meta Functional Learning for Regularising Knowledge
  Transfer
A Framework of Meta Functional Learning for Regularising Knowledge Transfer
Pan Li
Yanwei Fu
S. Gong
30
0
0
28 Mar 2022
Sketch3T: Test-Time Training for Zero-Shot SBIR
Sketch3T: Test-Time Training for Zero-Shot SBIR
Aneeshan Sain
A. Bhunia
Vaishnav Potlapalli
Pinaki Nath Chowdhury
Tao Xiang
Yi-Zhe Song
VLM
19
48
0
28 Mar 2022
Recent Few-Shot Object Detection Algorithms: A Survey with Performance
  Comparison
Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparison
Tianying Liu
Lu Zhang
Yang Wang
Jihong Guan
Yanwei Fu
Jiajia Zhao
Shuigeng Zhou
ObjD
AAML
18
27
0
27 Mar 2022
Sylph: A Hypernetwork Framework for Incremental Few-shot Object
  Detection
Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection
Li Yin
Juan-Manuel Perez-Rua
Kevin J Liang
ObjD
25
35
0
25 Mar 2022
Learning to Adapt to Unseen Abnormal Activities under Weak Supervision
Learning to Adapt to Unseen Abnormal Activities under Weak Supervision
Jaeyoo Park
Junha Kim
Bohyung Han
OffRL
23
5
0
25 Mar 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot
  Classification
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification
Philip Chikontwe
Soopil Kim
Sang Hyun Park
32
32
0
25 Mar 2022
Multidimensional Belief Quantification for Label-Efficient Meta-Learning
Multidimensional Belief Quantification for Label-Efficient Meta-Learning
Deepshikha Pandey
Qi Yu
UQCV
11
10
0
23 Mar 2022
Efficient Few-Shot Object Detection via Knowledge Inheritance
Efficient Few-Shot Object Detection via Knowledge Inheritance
Ze Yang
Chi Zhang
Ruibo Li
Yi Tian Xu
Guosheng Lin
VLM
27
33
0
23 Mar 2022
Adaptive Transformers for Robust Few-shot Cross-domain Face
  Anti-spoofing
Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofing
Hsin-Ping Huang
Deqing Sun
Yaojie Liu
Wen-Sheng Chu
Taihong Xiao
Jinwei Yuan
Hartwig Adam
Ming-Hsuan Yang
CVBM
44
56
0
23 Mar 2022
Improving Meta-learning for Low-resource Text Classification and
  Generation via Memory Imitation
Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation
Ying Zhao
Zhiliang Tian
Huaxiu Yao
Yinhe Zheng
Dongkyu Lee
Yiping Song
Jian Sun
N. Zhang
32
20
0
22 Mar 2022
HyperShot: Few-Shot Learning by Kernel HyperNetworks
HyperShot: Few-Shot Learning by Kernel HyperNetworks
Marcin Sendera
Marcin Przewiȩźlikowski
Konrad Karanowski
Maciej Ziȩba
Jacek Tabor
Przemysław Spurek
VLM
32
27
0
21 Mar 2022
Hyperbolic Vision Transformers: Combining Improvements in Metric
  Learning
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning
Aleksandr Ermolov
L. Mirvakhabova
Valentin Khrulkov
N. Sebe
Ivan Oseledets
30
100
0
21 Mar 2022
Incremental Few-Shot Learning via Implanting and Compressing
Incremental Few-Shot Learning via Implanting and Compressing
Yiting Li
H. Zhu
Xijia Feng
Zilong Cheng
Jun Ma
Cheng Xiang
P. Vadakkepat
T. Lee
CLL
VLM
25
2
0
19 Mar 2022
Multi-similarity based Hyperrelation Network for few-shot segmentation
Multi-similarity based Hyperrelation Network for few-shot segmentation
Xian Shi
Zhe Cui
Shaobing Zhang
Miao Cheng
L. He
Xianghong Tang
31
5
0
17 Mar 2022
Few-Shot Learning on Graphs
Few-Shot Learning on Graphs
Chuxu Zhang
Kaize Ding
Jundong Li
Xiangliang Zhang
Yanfang Ye
Nitesh V. Chawla
Huan Liu
30
18
0
17 Mar 2022
Semantic-aligned Fusion Transformer for One-shot Object Detection
Semantic-aligned Fusion Transformer for One-shot Object Detection
Yizhou Zhao
Xun Guo
Yan Lu
ViT
ObjD
22
21
0
17 Mar 2022
Attribute Surrogates Learning and Spectral Tokens Pooling in
  Transformers for Few-shot Learning
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning
Yang He
Weihan Liang
Dongyang Zhao
Hong-Yu Zhou
Weifeng Ge
Yizhou Yu
Wenqiang Zhang
ViT
37
45
0
17 Mar 2022
Semantic-diversity transfer network for generalized zero-shot learning
  via inner disagreement based OOD detector
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector
Bo Liu
Qiulei Dong
Zhanyi Hu
21
11
0
17 Mar 2022
Label Semantics for Few Shot Named Entity Recognition
Label Semantics for Few Shot Named Entity Recognition
Jie Ma
Miguel Ballesteros
Srikanth Doss Kadarundalagi Raghuram Doss
Rishita Anubhai
S. Mallya
Yaser Al-Onaizan
Dan Roth
16
66
0
16 Mar 2022
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
33
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
47
90
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
31
22
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
29
18
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
26
201
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
35
168
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
51
100
0
14 Mar 2022
Worst Case Matters for Few-Shot Recognition
Worst Case Matters for Few-Shot Recognition
Minghao Fu
Yunhao Cao
Jianxin Wu
22
8
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
29
29
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
18
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
36
157
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
33
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
24
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
31
18
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
24
23
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
13
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
30
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
ViT
3DPC
44
18
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
41
4
0
15 Feb 2022
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