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MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images

MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images

24 May 2025
Han Li
Hu Han
S.Kevin Zhou
ArXiv (abs)PDFHTML

Papers citing "MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images"

50 / 94 papers shown
Title
A Self Supervised StyleGAN for Image Annotation and Classification with
  Extremely Limited Labels
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels
Dana Cohen Hochberg
H. Greenspan
Raja Giryes
76
12
0
26 Dec 2023
Dual Compensation Residual Networks for Class Imbalanced Learning
Dual Compensation Residual Networks for Class Imbalanced Learning
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
96
6
0
25 Aug 2023
Digging Into Uncertainty-based Pseudo-label for Robust Stereo Matching
Digging Into Uncertainty-based Pseudo-label for Robust Stereo Matching
Zhelun Shen
Xibin Song
Yuchao Dai
Dingfu Zhou
Zhibo Rao
Liangjun Zhang
UQCV
105
26
0
31 Jul 2023
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment
Mengke Li
Yiu-ming Cheung
Yang Lu
133
100
0
19 May 2023
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction
  for Uncertainty Quantification
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification
Xing Yan
Yonghua Su
Wenxuan Ma
UQCV
81
2
0
26 Nov 2022
Dynamic Loss For Robust Learning
Dynamic Loss For Robust Learning
Shenwang Jiang
Jianan Li
Jizhou Zhang
Ying Wang
Tingfa Xu
NoLaOOD
67
8
0
22 Nov 2022
The Equalization Losses: Gradient-Driven Training for Long-tailed Object
  Recognition
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition
Jingru Tan
Yue Liu
Xin Lu
Yongqiang Yao
F. Yu
Tong He
Wanli Ouyang
66
10
0
11 Oct 2022
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting
Bohan Tang
Yiqi Zhong
Chenxin Xu
Wei Wu
Ulrich Neumann
Yanfeng Wang
Ya Zhang
Siheng Chen
122
10
0
11 Jul 2022
Uncertainty-aware Contrastive Distillation for Incremental Semantic
  Segmentation
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation
Guanglei Yang
Enrico Fini
Dan Xu
Paolo Rota
Mingli Ding
Moin Nabi
Xavier Alameda-Pineda
Elisa Ricci
CLL
63
67
0
26 Mar 2022
SATr: Slice Attention with Transformer for Universal Lesion Detection
SATr: Slice Attention with Transformer for Universal Lesion Detection
Hantao Li
Long Chen
H. Han
S. Kevin Zhou
ViTMedIm
75
27
0
13 Mar 2022
Consistency and Diversity induced Human Motion Segmentation
Consistency and Diversity induced Human Motion Segmentation
Tao Zhou
Huazhu Fu
Chen Gong
Ling Shao
Fatih Porikli
Haibin Ling
Jianbing Shen
79
23
0
10 Feb 2022
General Greedy De-bias Learning
General Greedy De-bias Learning
Xinzhe Han
Shuhui Wang
Chi Su
Qingming Huang
Qi Tian
83
9
0
20 Dec 2021
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image
  Classification
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification
Fengbei Liu
Yu Tian
Yuanhong Chen
Yuyuan Liu
Vasileios Belagiannis
G. Carneiro
95
82
0
25 Nov 2021
Learning with Noisy Labels Revisited: A Study Using Real-World Human
  Annotations
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations
Jiaheng Wei
Zhaowei Zhu
Weiran Wang
Tongliang Liu
Gang Niu
Yang Liu
NoLa
144
261
0
22 Oct 2021
Deep Long-Tailed Learning: A Survey
Deep Long-Tailed Learning: A Survey
Yifan Zhang
Bingyi Kang
Bryan Hooi
Shuicheng Yan
Jiashi Feng
VLM
113
589
0
09 Oct 2021
Influence-Balanced Loss for Imbalanced Visual Classification
Influence-Balanced Loss for Imbalanced Visual Classification
Seulki Park
Jongin Lim
Younghan Jeon
J. Choi
CVBM
131
136
0
06 Oct 2021
Asymmetric 3D Context Fusion for Universal Lesion Detection
Asymmetric 3D Context Fusion for Universal Lesion Detection
Jiancheng Yang
Yi He
Kaiming Kuang
Zudi Lin
Hanspeter Pfister
Bingbing Ni
3DPCMedIm
76
23
0
17 Sep 2021
Co-Correcting: Noise-tolerant Medical Image Classification via mutual
  Label Correction
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction
Jiarun Liu
Ruirui Li
Chuan Sun
OODNoLaVLM
54
33
0
11 Sep 2021
NGC: A Unified Framework for Learning with Open-World Noisy Data
NGC: A Unified Framework for Learning with Open-World Noisy Data
Zhi-Fan Wu
Tong Wei
Jianwen Jiang
Chaojie Mao
Mingqian Tang
Yu-Feng Li
51
84
0
25 Aug 2021
Out-of-Domain Generalization from a Single Source: An Uncertainty
  Quantification Approach
Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approach
Xi Peng
Fengchun Qiao
Long Zhao
OOD
109
36
0
05 Aug 2021
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
Hongxin Wei
Lue Tao
Renchunzi Xie
Bo An
NoLa
73
86
0
21 Jun 2021
CCMN: A General Framework for Learning with Class-Conditional
  Multi-Label Noise
CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise
Ming-Kun Xie
Sheng-Jun Huang
NoLa
92
28
0
16 May 2021
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set
  Loss
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss
Youbao Tang
Jinzheng Cai
K. Yan
Lingyun Huang
Guotong Xie
Jing Xiao
Jingjing Lu
Gigin Lin
Le Lu
85
26
0
03 May 2021
Improving Calibration for Long-Tailed Recognition
Improving Calibration for Long-Tailed Recognition
Zhisheng Zhong
Jiequan Cui
Shu Liu
Jiaya Jia
124
303
0
01 Apr 2021
Contrastive Learning based Hybrid Networks for Long-Tailed Image
  Classification
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification
Peng Wang
Kai Han
Xiu-Shen Wei
Lei Zhang
Lei Wang
SSL
113
240
0
26 Mar 2021
Conditional Training with Bounding Map for Universal Lesion Detection
Conditional Training with Bounding Map for Universal Lesion Detection
Han Li
Long Chen
Hu Han
S. Kevin Zhou
MedImAI4CE
68
9
0
23 Mar 2021
ResLT: Residual Learning for Long-tailed Recognition
ResLT: Residual Learning for Long-tailed Recognition
Jiequan Cui
Shu Liu
Zhuotao Tian
Zhisheng Zhong
Jiaya Jia
86
134
0
26 Jan 2021
Revisiting 3D Context Modeling with Supervised Pre-training for
  Universal Lesion Detection in CT Slices
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices
Shu Zhen Zhang
Jincheng Xu
Yu-Chun Chen
Jiechao Ma
Zihao Li
Yizhou Wang
Yizhou Yu
MedIm
81
19
0
16 Dec 2020
Confidence Estimation via Auxiliary Models
Confidence Estimation via Auxiliary Models
Charles Corbière
Nicolas Thome
A. Saporta
Tuan-Hung Vu
Matthieu Cord
P. Pérez
TPM
145
50
0
11 Dec 2020
Beyond Class-Conditional Assumption: A Primary Attempt to Combat
  Instance-Dependent Label Noise
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
Pengfei Chen
Junjie Ye
Guangyong Chen
Jingwei Zhao
Pheng-Ann Heng
NoLa
107
128
0
10 Dec 2020
A Topological Filter for Learning with Label Noise
A Topological Filter for Learning with Label Noise
Pengxiang Wu
Songzhu Zheng
Mayank Goswami
Dimitris N. Metaxas
Chao Chen
NoLa
81
113
0
09 Dec 2020
Robust Learning by Self-Transition for Handling Noisy Labels
Robust Learning by Self-Transition for Handling Noisy Labels
Hwanjun Song
Minseok Kim
Dongmin Park
Yooju Shin
Jae-Gil Lee
NoLa
69
41
0
08 Dec 2020
Encoding the latent posterior of Bayesian Neural Networks for
  uncertainty quantification
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification
Gianni Franchi
Andrei Bursuc
Emanuel Aldea
Séverine Dubuisson
Isabelle Bloch
BDLUQCV
84
27
0
04 Dec 2020
Disentangling Label Distribution for Long-tailed Visual Recognition
Disentangling Label Distribution for Long-tailed Visual Recognition
Youngkyu Hong
Seungju Han
Kwanghee Choi
Seokjun Seo
Beomsu Kim
Buru Chang
62
238
0
01 Dec 2020
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval
Frederik Warburg
Martin Jørgensen
Javier Civera
Søren Hauberg
UQCV
94
37
0
25 Nov 2020
Error-Bounded Correction of Noisy Labels
Error-Bounded Correction of Noisy Labels
Songzhu Zheng
Pengxiang Wu
A. Goswami
Mayank Goswami
Dimitris N. Metaxas
Chao Chen
NoLa
61
119
0
19 Nov 2020
Long-Tailed Classification by Keeping the Good and Removing the Bad
  Momentum Causal Effect
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
Kaihua Tang
Jianqiang Huang
Hanwang Zhang
CML
107
446
0
28 Sep 2020
Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D
  Convolution and Surface Point Regression
Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D Convolution and Surface Point Regression
Jinzheng Cai
K. Yan
Chi-Tung Cheng
Jing Xiao
Chien-Hung Liao
Le Lu
Adam P. Harrison
3DPCMedIm
121
20
0
30 Aug 2020
Weakly Supervised Learning with Side Information for Noisy Labeled
  Images
Weakly Supervised Learning with Side Information for Noisy Labeled Images
Lele Cheng
Xiangzeng Zhou
Liming Zhao
Dangwei Li
Hong Shang
Yun Zheng
Pan Pan
Yinghui Xu
NoLa
71
45
0
25 Aug 2020
The Devil is in Classification: A Simple Framework for Long-tail Object
  Detection and Instance Segmentation
The Devil is in Classification: A Simple Framework for Long-tail Object Detection and Instance Segmentation
Tao Wang
Yu Li
Bingyi Kang
Junnan Li
Jun Hao Liew
Sheng Tang
Guosheng Lin
Jiashi Feng
ISeg
103
182
0
23 Jul 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey
Learning from Noisy Labels with Deep Neural Networks: A Survey
Hwanjun Song
Minseok Kim
Dongmin Park
Yooju Shin
Jae-Gil Lee
NoLa
122
998
0
16 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
132
713
0
14 Jul 2020
Normalized Loss Functions for Deep Learning with Noisy Labels
Normalized Loss Functions for Deep Learning with Noisy Labels
Xingjun Ma
Hanxun Huang
Yisen Wang
Simone Romano
S. Erfani
James Bailey
NoLa
76
445
0
24 Jun 2020
AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic
  Volumes
AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes
Jiancheng Yang
Yi He
Xiaoyang Huang
Jingwei Xu
X. Ye
G. Tao
Bingbing Ni
MedIm
63
18
0
05 May 2020
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images
Deng-Ping Fan
Tao Zhou
Ge-Peng Ji
Yi Zhou
Geng Chen
Huazhu Fu
Jianbing Shen
Ling Shao
62
976
0
22 Apr 2020
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification
  and Segmentation
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
Yu-Huan Wu
Shanghua Gao
Jie Mei
Jun Xu
Deng-Ping Fan
Chao Zhao
Ming-Ming Cheng
67
380
0
15 Apr 2020
Domain Balancing: Face Recognition on Long-Tailed Domains
Domain Balancing: Face Recognition on Long-Tailed Domains
Dong Cao
Xiangyu Zhu
Xingyu Huang
Jianzhu Guo
Zhen Lei
CVBM
103
71
0
30 Mar 2020
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Yassine Ouali
C´eline Hudelot
Myriam Tami
138
729
0
19 Mar 2020
Equalization Loss for Long-Tailed Object Recognition
Equalization Loss for Long-Tailed Object Recognition
Jingru Tan
Changbao Wang
Buyu Li
Quanquan Li
Wanli Ouyang
Changqing Yin
Junjie Yan
325
466
0
11 Mar 2020
Does label smoothing mitigate label noise?
Does label smoothing mitigate label noise?
Michal Lukasik
Srinadh Bhojanapalli
A. Menon
Surinder Kumar
NoLa
193
351
0
05 Mar 2020
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