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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"

29 / 179 papers shown
Title
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
AraDIC: Arabic Document Classification using Image-Based Character
  Embeddings and Class-Balanced Loss
AraDIC: Arabic Document Classification using Image-Based Character Embeddings and Class-Balanced Loss
Mahmoud Daif
Shunsuke Kitada
Hitoshi Iyatomi
VLM
17
3
0
20 Jun 2020
Rethinking Importance Weighting for Deep Learning under Distribution
  Shift
Rethinking Importance Weighting for Deep Learning under Distribution Shift
Tongtong Fang
Nan Lu
Gang Niu
Masashi Sugiyama
33
134
0
08 Jun 2020
Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with
  Efficient Method
Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method
Jian Jia
Houjing Huang
Wenjie Yang
Xiaotang Chen
Kaiqi Huang
16
44
0
25 May 2020
An Investigation of Why Overparameterization Exacerbates Spurious
  Correlations
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa
Aditi Raghunathan
Pang Wei Koh
Percy Liang
152
371
0
09 May 2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community
  Acquired Pneumonia
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia
Xi Ouyang
Jiayu Huo
L. Xia
F. Shan
Jun Liu
...
Xiaohuan Cao
Yaozong Gao
Dijia Wu
Qian Wang
D. Shen
22
312
0
06 May 2020
Slice Tuner: A Selective Data Acquisition Framework for Accurate and
  Fair Machine Learning Models
Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models
Ki Hyun Tae
Steven Euijong Whang
21
39
0
10 Mar 2020
Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis:
  An Open Source Benchmark Study
Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study
Zhibin Zhao
Tianfu Li
Jingyao Wu
Chuang Sun
Shibin Wang
Ruqiang Yan
Xuefeng Chen
17
416
0
06 Mar 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep
  Learning
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning
Han-Jia Ye
Hong-You Chen
De-Chuan Zhan
Wei-Lun Chao
32
99
0
06 Jan 2020
Convolutional Dictionary Pair Learning Network for Image Representation
  Learning
Convolutional Dictionary Pair Learning Network for Image Representation Learning
Zhao Zhang
Yulin Sun
Yang Wang
Zhengjun Zha
Shuicheng Yan
Meng Wang
25
6
0
17 Dec 2019
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
253
782
0
05 Dec 2019
Towards Fairness in Visual Recognition: Effective Strategies for Bias
  Mitigation
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation
Zeyu Wang
Klint Qinami
Yannis Karakozis
Kyle Genova
P. Nair
Kenji Hata
Olga Russakovsky
32
354
0
26 Nov 2019
Maintaining Discrimination and Fairness in Class Incremental Learning
Maintaining Discrimination and Fairness in Class Incremental Learning
Bowen Zhao
Xi Xiao
Guojun Gan
Bin Zhang
Shutao Xia
CLL
20
415
0
16 Nov 2019
DR$\vert$GRADUATE: uncertainty-aware deep learning-based diabetic
  retinopathy grading in eye fundus images
DR∣\vert∣GRADUATE: uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images
Teresa Araújo
Guilherme Aresta
Luís Mendonça
S. Penas
Carolina Maia
Â. Carneiro
A. Mendonça
A. Campilho
MedIm
6
109
0
25 Oct 2019
Hidden Stratification Causes Clinically Meaningful Failures in Machine
  Learning for Medical Imaging
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging
Luke Oakden-Rayner
Jared A. Dunnmon
G. Carneiro
Christopher Ré
OOD
18
373
0
27 Sep 2019
Anchor Loss: Modulating Loss Scale based on Prediction Difficulty
Anchor Loss: Modulating Loss Scale based on Prediction Difficulty
Serim Ryou
Seong-Gyun Jeong
Pietro Perona
13
43
0
24 Sep 2019
Imbalance Problems in Object Detection: A Review
Imbalance Problems in Object Detection: A Review
Kemal Oksuz
Baris Can Cam
Sinan Kalkan
Emre Akbas
ObjD
16
458
0
31 Aug 2019
Deep ensemble network with explicit complementary model for
  accuracy-balanced classification
Deep ensemble network with explicit complementary model for accuracy-balanced classification
Dohyun Kim
Kyeorye Lee
Jiyeon Kim
Junseok Kwon
Joongheon Kim
8
0
0
10 Aug 2019
LapTool-Net: A Contextual Detector of Surgical Tools in Laparoscopic
  Videos Based on Recurrent Convolutional Neural Networks
LapTool-Net: A Contextual Detector of Surgical Tools in Laparoscopic Videos Based on Recurrent Convolutional Neural Networks
Babak Namazi
G. Sankaranarayanan
V. Devarajan
24
13
0
22 May 2019
Generative Adversarial Minority Oversampling
Generative Adversarial Minority Oversampling
S. S. Mullick
Shounak Datta
Swagatam Das
21
174
0
22 Mar 2019
SNU_IDS at SemEval-2019 Task 3: Addressing Training-Test Class
  Distribution Mismatch in Conversational Classification
SNU_IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in Conversational Classification
Sanghwan Bae
Jihun Choi
Sang-goo Lee
33
5
0
06 Mar 2019
Segmentation of Roots in Soil with U-Net
Segmentation of Roots in Soil with U-Net
Abraham George Smith
Jens Petersen
Raghavendra Selvan
C. Rasmussen
19
122
0
28 Feb 2019
Deep learning in bioinformatics: introduction, application, and
  perspective in big data era
Deep learning in bioinformatics: introduction, application, and perspective in big data era
Yu Li
Chao Huang
Lizhong Ding
Zhongxiao Li
Yijie Pan
Xin Gao
AI4CE
21
295
0
28 Feb 2019
Online Abstraction with MDP Homomorphisms for Deep Learning
Online Abstraction with MDP Homomorphisms for Deep Learning
Ondrej Biza
Robert W. Platt
OffRL
21
21
0
30 Nov 2018
Learning Long-Range Perception Using Self-Supervision from Short-Range
  Sensors and Odometry
Learning Long-Range Perception Using Self-Supervision from Short-Range Sensors and Odometry
Mirko Nava
Jérôme Guzzi
R. O. Chavez-Garcia
L. Gambardella
Alessandro Giusti
SSL
10
28
0
19 Sep 2018
Detecting and interpreting myocardial infarction using fully
  convolutional neural networks
Detecting and interpreting myocardial infarction using fully convolutional neural networks
Nils Strodthoff
C. Strodthoff
43
150
0
18 Jun 2018
Assessment of Deep Convolutional Neural Networks for Road Surface
  Classification
Assessment of Deep Convolutional Neural Networks for Road Surface Classification
Marcus Nolte
Nikita Kister
Markus Maurer
20
99
0
24 Apr 2018
Using Convolutional Neural Networks for Determining Reticulocyte
  Percentage in Cats
Using Convolutional Neural Networks for Determining Reticulocyte Percentage in Cats
Krunoslav Vinicki
Pierluigi Ferrari
M. Belic
R. Turk
11
19
0
13 Mar 2018
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