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A systematic study of the class imbalance problem in convolutional
  neural networks

A systematic study of the class imbalance problem in convolutional neural networks

15 October 2017
Mateusz Buda
A. Maki
Maciej Mazurowski
ArXivPDFHTML

Papers citing "A systematic study of the class imbalance problem in convolutional neural networks"

50 / 177 papers shown
Title
Balanced-MixUp for Highly Imbalanced Medical Image Classification
Balanced-MixUp for Highly Imbalanced Medical Image Classification
Adrian Galdran
G. Carneiro
M. A. G. Ballester
18
100
0
20 Sep 2021
A survey on deep learning approaches for breast cancer diagnosis
A survey on deep learning approaches for breast cancer diagnosis
Timothy C. H. Kwong
S. Mazaheri
MedIm
24
4
0
18 Sep 2021
An Empirical Evaluation of the t-SNE Algorithm for Data Visualization in
  Structural Engineering
An Empirical Evaluation of the t-SNE Algorithm for Data Visualization in Structural Engineering
P. Hajibabaee
Farhad Pourkamali Anaraki
M. A. Hariri-Ardebili
22
33
0
18 Sep 2021
CardiSort: a convolutional neural network for cross vendor automated
  sorting of cardiac MR images
CardiSort: a convolutional neural network for cross vendor automated sorting of cardiac MR images
R. Lim
S. Kachel
A. Villa
L. Kearney
N. Bettencourt
Alistair Young
A. Chiribiri
C. Scannell
8
7
0
17 Sep 2021
Joint Debiased Representation Learning and Imbalanced Data Clustering
Joint Debiased Representation Learning and Imbalanced Data Clustering
Mina Rezaei
Emilio Dorigatti
David Rügamer
Bernd Bischl
SSL
27
3
0
11 Sep 2021
Self Supervision to Distillation for Long-Tailed Visual Recognition
Self Supervision to Distillation for Long-Tailed Visual Recognition
Tianhao Li
Limin Wang
Gangshan Wu
45
101
0
09 Sep 2021
Learning with Noisy Labels via Sparse Regularization
Learning with Noisy Labels via Sparse Regularization
Xiong Zhou
Xianming Liu
Chenyang Wang
Deming Zhai
Junjun Jiang
Xiangyang Ji
NoLa
28
51
0
31 Jul 2021
Imbalanced Adversarial Training with Reweighting
Imbalanced Adversarial Training with Reweighting
Wentao Wang
Han Xu
Xiaorui Liu
Yaxin Li
B. Thuraisingham
Jiliang Tang
29
16
0
28 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image
  Classification
On Bridging Generic and Personalized Federated Learning for Image Classification
Hong-You Chen
Wei-Lun Chao
FedML
22
21
0
02 Jul 2021
Cosmic-CoNN: A Cosmic Ray Detection Deep-Learning Framework, Dataset,
  and Toolkit
Cosmic-CoNN: A Cosmic Ray Detection Deep-Learning Framework, Dataset, and Toolkit
Chengyuan Xu
C. McCully
B. Dong
D. Howell
P. Sen
14
7
0
28 Jun 2021
RSG: A Simple but Effective Module for Learning Imbalanced Datasets
RSG: A Simple but Effective Module for Learning Imbalanced Datasets
Jianfeng Wang
Thomas Lukasiewicz
Xiaolin Hu
Jianfei Cai
Zhenghua Xu
SyDa
30
84
0
18 Jun 2021
Learning to Predict Visual Attributes in the Wild
Learning to Predict Visual Attributes in the Wild
Khoi Pham
Kushal Kafle
Zhe-nan Lin
Zhi Ding
Scott D. Cohen
Q. Tran
Abhinav Shrivastava
16
108
0
17 Jun 2021
Imperceptible Adversarial Examples for Fake Image Detection
Imperceptible Adversarial Examples for Fake Image Detection
Quanyu Liao
Yuezun Li
Xiaoqiang Guo
Bin Kong
Yingxin Zhu
Jianlei Liu
Zhuqing Jiang
Qi Song
Xi Wu
AAML
100
33
0
03 Jun 2021
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for
  Speed-Accuracy Optimization
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization
Taiki Miyagawa
Akinori F. Ebihara
25
3
0
28 May 2021
How saccadic vision might help with theinterpretability of deep networks
How saccadic vision might help with theinterpretability of deep networks
Iana Sereda
Grigory V. Osipov
FAtt
33
0
0
27 May 2021
PLM: Partial Label Masking for Imbalanced Multi-label Classification
PLM: Partial Label Masking for Imbalanced Multi-label Classification
Kevin Duarte
Y. S. Rawat
M. Shah
36
15
0
22 May 2021
Multi-Agent Semi-Siamese Training for Long-tail and Shallow Face
  Learning
Multi-Agent Semi-Siamese Training for Long-tail and Shallow Face Learning
Hailin Shi
Dan Zeng
Yichun Tai
Hang Du
Yibo Hu
Zicheng Zhang
Tao Mei
CVBM
36
4
0
10 May 2021
Balanced Knowledge Distillation for Long-tailed Learning
Balanced Knowledge Distillation for Long-tailed Learning
Shaoyu Zhang
Chen Chen
Xiyuan Hu
Silong Peng
45
57
0
21 Apr 2021
Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition
Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition
Yan Zhao
Weicong Chen
Xu Tan
Kai Huang
Jihong Zhu
27
55
0
13 Apr 2021
Adversarial Robustness under Long-Tailed Distribution
Adversarial Robustness under Long-Tailed Distribution
Tong Wu
Ziwei Liu
Qingqiu Huang
Yu Wang
Dahua Lin
21
76
0
06 Apr 2021
A surrogate loss function for optimization of $F_β$ score in binary
  classification with imbalanced data
A surrogate loss function for optimization of FβF_βFβ​ score in binary classification with imbalanced data
Namgil Lee
Heejung Yang
Hojin Yoo
21
8
0
03 Apr 2021
Improving Calibration for Long-Tailed Recognition
Improving Calibration for Long-Tailed Recognition
Zhisheng Zhong
Jiequan Cui
Shu-Lin Liu
Jiaya Jia
15
288
0
01 Apr 2021
Learning to Amend Facial Expression Representation via De-albino and
  Affinity
Learning to Amend Facial Expression Representation via De-albino and Affinity
Jiawei Shi
Song-Chun Zhu
Zhiwei Liang
CVBM
25
74
0
18 Mar 2021
Quantization-Guided Training for Compact TinyML Models
Quantization-Guided Training for Compact TinyML Models
Sedigh Ghamari
Koray Ozcan
Thu Dinh
A. Melnikov
Juan Carvajal
Jan Ernst
S. Chai
MQ
21
16
0
10 Mar 2021
Analyzing the Usefulness of the DARPA OpTC Dataset in Cyber Threat
  Detection Research
Analyzing the Usefulness of the DARPA OpTC Dataset in Cyber Threat Detection Research
M. Anjum
Shahrear Iqbal
B. Hamelin
9
30
0
04 Mar 2021
Label-Imbalanced and Group-Sensitive Classification under
  Overparameterization
Label-Imbalanced and Group-Sensitive Classification under Overparameterization
Ganesh Ramachandra Kini
Orestis Paraskevas
Samet Oymak
Christos Thrampoulidis
27
93
0
02 Mar 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced
  Semi-Supervised Learning
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
Chen Wei
Kihyuk Sohn
Clayton Mellina
Alan Yuille
Fan Yang
CLL
40
256
0
18 Feb 2021
Delving into Deep Imbalanced Regression
Delving into Deep Imbalanced Regression
Yuzhe Yang
Kaiwen Zha
Ying-Cong Chen
Hongya Wang
Dina Katabi
35
259
0
18 Feb 2021
Self-Supervised Features Improve Open-World Learning
Self-Supervised Features Improve Open-World Learning
A. Dhamija
T. Ahmad
Jonathan Schwan
Mohsen Jafarzadeh
Chunchun Li
Terrance E. Boult
SSL
24
13
0
15 Feb 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse
  in Imbalanced Training
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training
Cong Fang
Hangfeng He
Qi Long
Weijie J. Su
FAtt
130
165
0
29 Jan 2021
Deep Learning for Scene Classification: A Survey
Deep Learning for Scene Classification: A Survey
Delu Zeng
Minyu Liao
M. Tavakolian
Yulan Guo
Bolei Zhou
D. Hu
M. Pietikäinen
Li Liu
VLM
26
27
0
26 Jan 2021
Towards Overcoming False Positives in Visual Relationship Detection
Towards Overcoming False Positives in Visual Relationship Detection
Daisheng Jin
Xiao Ma
Chongzhi Zhang
Yizhuo Zhou
Jiashu Tao
...
Haiyu Zhao
Shuai Yi
Zhoujun Li
Xianglong Liu
Hongsheng Li
25
5
0
23 Dec 2020
Improving the Classification of Rare Chords with Unlabeled Data
Improving the Classification of Rare Chords with Unlabeled Data
M. Bortolozzo
Rodrigo Schramm
C. R. Jung
23
2
0
13 Dec 2020
Attentional-Biased Stochastic Gradient Descent
Attentional-Biased Stochastic Gradient Descent
Q. Qi
Yi Tian Xu
R. L. Jin
W. Yin
Tianbao Yang
ODL
26
12
0
13 Dec 2020
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting
Hongxin Wei
Lei Feng
R. Wang
Bo An
NoLa
25
6
0
09 Dec 2020
Transfer Learning for Oral Cancer Detection using Microscopic Images
Transfer Learning for Oral Cancer Detection using Microscopic Images
Rutwik Palaskar
R. Vyas
Vilas Khedekar
S. Palaskar
Pranjal Sahu
19
17
0
23 Nov 2020
Detection of masses and architectural distortions in digital breast
  tomosynthesis: a publicly available dataset of 5,060 patients and a deep
  learning model
Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5,060 patients and a deep learning model
Mateusz Buda
Ashirbani Saha
R. Walsh
S. Ghate
Nianyi Li
Albert Swiecicki
J. Lo
Maciej Mazurowski
10
52
0
13 Nov 2020
Towards Resolving the Challenge of Long-tail Distribution in UAV Images
  for Object Detection
Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection
Weiping Yu
Taojiannan Yang
Cheng Chen
25
90
0
07 Nov 2020
Robustness May Be at Odds with Fairness: An Empirical Study on
  Class-wise Accuracy
Robustness May Be at Odds with Fairness: An Empirical Study on Class-wise Accuracy
Philipp Benz
Chaoning Zhang
Adil Karjauv
In So Kweon
AAML
18
57
0
26 Oct 2020
Posterior Re-calibration for Imbalanced Datasets
Posterior Re-calibration for Imbalanced Datasets
Junjiao Tian
Yen-Cheng Liu
Nathan Glaser
Yen-Chang Hsu
Z. Kira
21
62
0
22 Oct 2020
Deep Adversarial Domain Adaptation Based on Multi-layer Joint Kernelized
  Distance
Deep Adversarial Domain Adaptation Based on Multi-layer Joint Kernelized Distance
Sitong Mao
Jiaxin Chen
X. Shen
F. Chung
TTA
22
0
0
09 Oct 2020
Bounding Boxes Are All We Need: Street View Image Classification via
  Context Encoding of Detected Buildings
Bounding Boxes Are All We Need: Street View Image Classification via Context Encoding of Detected Buildings
Kun Zhao
Yongkun Liu
Siyuan Hao
Shaoxing Lu
Hongbin Liu
Lijian Zhou
37
20
0
03 Oct 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling
Imbalanced Continual Learning with Partitioning Reservoir Sampling
C. Kim
Jinseo Jeong
Gunhee Kim
CLL
24
101
0
08 Sep 2020
PCPL: Predicate-Correlation Perception Learning for Unbiased Scene Graph
  Generation
PCPL: Predicate-Correlation Perception Learning for Unbiased Scene Graph Generation
Shaotian Yan
Chen Shen
Zhongming Jin
Jianqiang Huang
Rongxin Jiang
Yao-wu Chen
Xiansheng Hua
26
131
0
02 Sep 2020
Feature Space Augmentation for Long-Tailed Data
Feature Space Augmentation for Long-Tailed Data
Peng Chu
Xiao Bian
Shaopeng Liu
Haibin Ling
39
238
0
09 Aug 2020
Meta Feature Modulator for Long-tailed Recognition
Meta Feature Modulator for Long-tailed Recognition
Renzhen Wang
Kaiqin Hu
Yanwen Zhu
Jun Shu
Qian Zhao
Deyu Meng
16
12
0
08 Aug 2020
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren
Cunjun Yu
Shunan Sheng
Xiao Ma
Haiyu Zhao
Shuai Yi
Hongsheng Li
170
550
0
21 Jul 2020
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier
Tz-Ying Wu
Pedro Morgado
Pei Wang
Chih-Hui Ho
Nuno Vasconcelos
11
45
0
20 Jul 2020
Impact of base dataset design on few-shot image classification
Impact of base dataset design on few-shot image classification
Othman Sbai
Camille Couprie
Mathieu Aubry
VLM
15
22
0
17 Jul 2020
Long-tail learning via logit adjustment
Long-tail learning via logit adjustment
A. Menon
Sadeep Jayasumana
A. S. Rawat
Himanshu Jain
Andreas Veit
Sanjiv Kumar
65
683
0
14 Jul 2020
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