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A Closer Look at Few-shot Classification
v1v2 (latest)

A Closer Look at Few-shot Classification

8 April 2019
Wei-Yu Chen
Yen-Cheng Liu
Z. Kira
Y. Wang
Jia-Bin Huang
ArXiv (abs)PDFHTML

Papers citing "A Closer Look at Few-shot Classification"

50 / 845 papers shown
Title
Few-Shot Temporal Action Localization with Query Adaptive Transformer
Few-Shot Temporal Action Localization with Query Adaptive Transformer
Sauradip Nag
Xiatian Zhu
Tao Xiang
73
19
0
20 Oct 2021
Who calls the shots? Rethinking Few-Shot Learning for Audio
Who calls the shots? Rethinking Few-Shot Learning for Audio
Yu Wang
Nicholas J. Bryan
Justin Salamon
M. Cartwright
J. P. Bello
VLM
130
25
0
18 Oct 2021
Squeezing Backbone Feature Distributions to the Max for Efficient
  Few-Shot Learning
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning
Yuqing Hu
Vincent Gripon
S. Pateux
97
37
0
18 Oct 2021
Learning Prototype-oriented Set Representations for Meta-Learning
Learning Prototype-oriented Set Representations for Meta-Learning
D. Guo
Longlong Tian
Minghe Zhang
Mingyuan Zhou
H. Zha
OOD
65
23
0
18 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot
  Learning
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning
Yang Shu
Zhangjie Cao
Jing Gao
Jianmin Wang
Philip S. Yu
Mingsheng Long
109
11
0
14 Oct 2021
A Closer Look at Prototype Classifier for Few-shot Image Classification
A Closer Look at Prototype Classifier for Few-shot Image Classification
Mingcheng Hou
Issei Sato
VLM
103
21
0
11 Oct 2021
Unsupervised Representation Learning Meets Pseudo-Label Supervised
  Self-Distillation: A New Approach to Rare Disease Classification
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification
Jinghan Sun
Dong Wei
Kai Ma
Liansheng Wang
Yefeng Zheng
70
8
0
09 Oct 2021
SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene
  Classification
SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification
Baoquan Zhang
Shanshan Feng
Xutao Li
Yunming Ye
Rui Ye
87
43
0
09 Oct 2021
Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning
Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning
Sungyong Baik
Janghoon Choi
Heewon Kim
Dohee Cho
Jaesik Min
Kyoung Mu Lee
87
104
0
08 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification
On the Importance of Firth Bias Reduction in Few-Shot Classification
Saba Ghaffari
Ehsan Saleh
David A. Forsyth
Yu-Xiong Wang
95
13
0
06 Oct 2021
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning
Cat P. Le
Juncheng Dong
Mohammadreza Soltani
Vahid Tarokh
96
11
0
05 Oct 2021
An Optimization-Based Meta-Learning Model for MRI Reconstruction with
  Diverse Dataset
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset
Wanyu Bian
Yunmei Chen
X. Ye
Qingchao Zhang
85
27
0
02 Oct 2021
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned
  Meta-Adaptation
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation
Jay Patravali
Gaurav Mittal
Ye Yu
Fuxin Li
Mei Chen
92
19
0
30 Sep 2021
Meta Learning on a Sequence of Imbalanced Domains with Difficulty
  Awareness
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness
Zhenyi Wang
Tiehang Duan
Le Fang
Qiuling Suo
Mingchen Gao
251
19
0
29 Sep 2021
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous
  Meta-Learning
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning
Zhe Wang
J. E. Grigsby
Arshdeep Sekhon
Yanjun Qi
113
5
0
27 Sep 2021
Disentangled Feature Representation for Few-shot Image Classification
Disentangled Feature Representation for Few-shot Image Classification
Hao Cheng
Yufei Wang
Haoliang Li
Alex C. Kot
Bihan Wen
135
30
0
26 Sep 2021
Multi-source Few-shot Domain Adaptation
Multi-source Few-shot Domain Adaptation
Xiangyu Yue
Zangwei Zheng
Colorado Reed
Hari Prasanna Das
Kurt Keutzer
Alberto L. Sangiovanni-Vincentelli
107
12
0
25 Sep 2021
Learning by Examples Based on Multi-level Optimization
Learning by Examples Based on Multi-level Optimization
Shentong Mo
P. Xie
69
0
0
22 Sep 2021
Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications
Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications
Sai Vidyaranya Nuthalapati
Anirudh Tunga
84
37
0
21 Sep 2021
On the Importance of Distractors for Few-Shot Classification
On the Importance of Distractors for Few-Shot Classification
Rajshekhar Das
Yu-Xiong Wang
José M. F. Moura
81
29
0
20 Sep 2021
Ontology-based n-ball Concept Embeddings Informing Few-shot Image
  Classification
Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification
Mirantha Jayathilaka
Tingting Mu
U. Sattler
92
9
0
19 Sep 2021
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning
Shuai Shao
Lei Xing
Yan Wang
Rui Xu
Chunyan Zhao
Yanjiang Wang
Baodi Liu
96
35
0
16 Sep 2021
Meta Navigator: Search for a Good Adaptation Policy for Few-shot
  Learning
Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning
Chi Zhang
Henghui Ding
Guosheng Lin
Ruibo Li
Changhu Wang
Chunhua Shen
104
41
0
13 Sep 2021
Fine-Grained Few Shot Learning with Foreground Object Transformation
Fine-Grained Few Shot Learning with Foreground Object Transformation
Chaofei Wang
S. Song
Qisen Yang
Xiang Li
Gao Huang
93
24
0
13 Sep 2021
SphereFace Revived: Unifying Hyperspherical Face Recognition
SphereFace Revived: Unifying Hyperspherical Face Recognition
Weiyang Liu
Yandong Wen
Bhiksha Raj
Rita Singh
Adrian Weller
3DHCVBM
100
39
0
12 Sep 2021
LibFewShot: A Comprehensive Library for Few-shot Learning
LibFewShot: A Comprehensive Library for Few-shot Learning
Wenbin Li
Ziyi
Ziyi Wang
Xuesong Yang
C. Dong
...
Jing Huo
Yinghuan Shi
Lei Wang
Yang Gao
Jiebo Luo
VLM
179
69
0
10 Sep 2021
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain
  Adaptation
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation
Gengxin Xu
Chen Liu
Jun Liu
Z. Ding
F. Shi
...
Xiaoming Li
Ying Wei
Yaozong Gao
Chuan-Xian Ren
Dinggang Shen
OOD
82
36
0
08 Sep 2021
CIM: Class-Irrelevant Mapping for Few-Shot Classification
CIM: Class-Irrelevant Mapping for Few-Shot Classification
Shuai Shao
Lei Xing
Yixin Chen
Yanjiang Wang
Baodi Liu
Yicong Zhou
79
2
0
07 Sep 2021
Few-shot Learning via Dependency Maximization and Instance Discriminant
  Analysis
Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis
Zejiang Hou
S. Kung
37
1
0
07 Sep 2021
CAM-loss: Towards Learning Spatially Discriminative Feature
  Representations
CAM-loss: Towards Learning Spatially Discriminative Feature Representations
Chaofei Wang
J. Xiao
Yizeng Han
Qisen Yang
S. Song
Gao Huang
65
22
0
03 Sep 2021
Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object
  Localization and Task-Decomposition
Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition
Xiyao Liu
Zhong Ji
Yanwei Pang
Zhongfei Zhang
69
17
0
03 Sep 2021
Information Symmetry Matters: A Modal-Alternating Propagation Network
  for Few-Shot Learning
Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning
Zhong Ji
Zhishen Hou
Xiyao Liu
Yanwei Pang
Jungong Han
87
21
0
03 Sep 2021
Learning to Synthesize Programs as Interpretable and Generalizable
  Policies
Learning to Synthesize Programs as Interpretable and Generalizable Policies
Dweep Trivedi
Jesse Zhang
Shao-Hua Sun
Joseph J. Lim
NAI
113
74
0
31 Aug 2021
Object-aware Long-short-range Spatial Alignment for Few-Shot
  Fine-Grained Image Classification
Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification
Yike Wu
Bo Zhang
Gang Yu
Weixiao Zhang
Bin Wang
Tao Chen
Jiayuan Fan
ObjD
67
25
0
30 Aug 2021
Calibrating Class Activation Maps for Long-Tailed Visual Recognition
Calibrating Class Activation Maps for Long-Tailed Visual Recognition
Chi Zhang
Guosheng Lin
Lvlong Lai
Henghui Ding
Qingyao Wu
72
1
0
29 Aug 2021
Anomaly Detection of Defect using Energy of Point Pattern Features
  within Random Finite Set Framework
Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework
Ammar Mansoor Kamoona
A. Gostar
A. Bab-Hadiashar
R. Hoseinnezhad
42
17
0
27 Aug 2021
Binocular Mutual Learning for Improving Few-shot Classification
Binocular Mutual Learning for Improving Few-shot Classification
Ziqi Zhou
Xi Qiu
Jiangtao Xie
Jianan Wu
Chi Zhang
SSL
74
77
0
27 Aug 2021
Learning Class-level Prototypes for Few-shot Learning
Learning Class-level Prototypes for Few-shot Learning
Minglei Yuan
Wenhai Wang
Tao Wang
Chunhao Cai
Qian Xu
Tong Lu
VLM
34
3
0
25 Aug 2021
Adaptation-Agnostic Meta-Training
Adaptation-Agnostic Meta-Training
Jiaxin Chen
Li-Ming Zhan
Xiao-Ming Wu
K. F. Chung
95
0
0
24 Aug 2021
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
Limeng Qiao
Yuxuan Zhao
Zhiyuan Li
Xi Qiu
Jianan Wu
Chi Zhang
ObjD
104
203
0
20 Aug 2021
Boosting the Generalization Capability in Cross-Domain Few-shot Learning
  via Noise-enhanced Supervised Autoencoder
Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder
Hanwen Liang
Qiong Zhang
Peng Dai
Juwei Lu
88
63
0
11 Aug 2021
Prototype Completion for Few-Shot Learning
Prototype Completion for Few-Shot Learning
Baoquan Zhang
Xutao Li
Yunming Ye
Shanshan Feng
VLM
136
20
0
11 Aug 2021
The Role of Global Labels in Few-Shot Classification and How to Infer
  Them
The Role of Global Labels in Few-Shot Classification and How to Infer Them
Ruohan Wang
Massimiliano Pontil
C. Ciliberto
VLM
85
17
0
09 Aug 2021
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse
  Similarity Encoding
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding
Sheng Huang
Wanqi Yang
Lei Wang
Luping Zhou
Ming Yang
55
9
0
06 Aug 2021
Improve Unsupervised Pretraining for Few-label Transfer
Improve Unsupervised Pretraining for Few-label Transfer
Suichan Li
Dongdong Chen
Yinpeng Chen
Lu Yuan
Lei Zhang
Qi Chu
B. Liu
Nenghai Yu
SSL
67
20
0
26 Jul 2021
Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target
  Data
Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data
Yu Fu
Yanwei Fu
Yu-Gang Jiang
70
67
0
26 Jul 2021
A Transductive Maximum Margin Classifier for Few-Shot Learning
A Transductive Maximum Margin Classifier for Few-Shot Learning
Fei Pan
Chunlei Xu
Jie Guo
Yanwen Guo
43
0
0
26 Jul 2021
Temporal Alignment Prediction for Few-Shot Video Classification
Temporal Alignment Prediction for Few-Shot Video Classification
Fei Pan
Chunlei Xu
Jie Guo
Yanwen Guo
AI4TS
41
1
0
26 Jul 2021
Will Multi-modal Data Improves Few-shot Learning?
Will Multi-modal Data Improves Few-shot Learning?
Zilun Zhang
Shihao Ma
Yichun Zhang
34
2
0
25 Jul 2021
Improving the Generalization of Meta-learning on Unseen Domains via
  Adversarial Shift
Improving the Generalization of Meta-learning on Unseen Domains via Adversarial Shift
Pinzhuo Tian
Yao Gao
OOD
51
1
0
23 Jul 2021
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