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BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive
  Pseudo Labeling and Informative Active Annotation
v1v2 (latest)

BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation

4 March 2022
Wenqiao Zhang
Lei Zhu
James Hallinan
A. Makmur
Shengyu Zhang
Qingpeng Cai
Beng Chin Ooi
ArXiv (abs)PDFHTML

Papers citing "BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation"

38 / 38 papers shown
Title
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery
Xinzi Cao
Xiawu Zheng
G. Wang
Weijiang Yu
Yunhang Shen
Ke Li
Yutong Lu
Yonghong Tian
CLL
148
6
0
09 Jan 2025
LASER: Tuning-Free LLM-Driven Attention Control for Efficient Text-conditioned Image-to-Animation
LASER: Tuning-Free LLM-Driven Attention Control for Efficient Text-conditioned Image-to-Animation
Haoyu Zheng
Wenqiao Zhang
Yaoke Wang
Hao Zhou
Jiang Liu
Juncheng Li
Zheqi Lv
Siliang Tang
Yueting Zhuang
Yueting Zhuang
88
1
0
21 Apr 2024
Compositional Temporal Grounding with Structured Variational Cross-Graph
  Correspondence Learning
Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning
Juncheng Li
Junlin Xie
Long Qian
Linchao Zhu
Siliang Tang
Leilei Gan
Yi Yang
Yueting Zhuang
Xinze Wang
88
74
0
24 Mar 2022
End-to-End Modeling via Information Tree for One-Shot Natural Language
  Spatial Video Grounding
End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding
Meng Li
Tianbao Wang
Haoyu Zhang
Shengyu Zhang
Zhou Zhao
...
Wenming Tan
Jin Wang
Peng Wang
Shi Pu
Leilei Gan
74
45
0
15 Mar 2022
MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and
  Unpaired Text-based Image Captioning
MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-based Image Captioning
Wenqiao Zhang
Haochen Shi
Jiannan Guo
Shengyu Zhang
Qingpeng Cai
Juncheng Li
Sihui Luo
Yueting Zhuang
DiffM
77
46
0
13 Dec 2021
Relational Graph Learning for Grounded Video Description Generation
Relational Graph Learning for Grounded Video Description Generation
Wenqiao Zhang
Xinze Wang
Siliang Tang
Haizhou Shi
Haochen Shi
Jun Xiao
Yueting Zhuang
Wenjie Wang
59
33
0
02 Dec 2021
Adaptive Hierarchical Graph Reasoning with Semantic Coherence for
  Video-and-Language Inference
Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference
Juncheng Li
Siliang Tang
Linchao Zhu
Haochen Shi
Xuanwen Huang
Leilei Gan
Yi Yang
Yueting Zhuang
81
28
0
26 Jul 2021
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency
  and Heterogeneous Perturbation
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation
Hong-Yu Zhou
Chengdi Wang
Haofeng Li
Gang Wang
Shu Zhen Zhang
Wei-min Li
Yizhou Yu
57
52
0
03 Jun 2021
TransUNet: Transformers Make Strong Encoders for Medical Image
  Segmentation
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
Jieneng Chen
Yongyi Lu
Qihang Yu
Xiangde Luo
Ehsan Adeli
Yan Wang
Le Lu
Alan Yuille
Yuyin Zhou
ViTMedIm
98
3,479
0
08 Feb 2021
MLCask: Efficient Management of Component Evolution in Collaborative
  Data Analytics Pipelines
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines
Zhaojing Luo
Sai-Ho Yeung
Meihui Zhang
Kaiping Zheng
Lei Zhu
Gang Chen
Feiyi Fan
Qian Lin
K. Ngiam
Beng Chin Ooi
80
29
0
17 Oct 2020
Semi-supervised Medical Image Classification with Global Latent Mixing
Semi-supervised Medical Image Classification with Global Latent Mixing
P. Gyawali
S. Ghimire
Pradeep Bajracharya
Zhiyuan Li
Linwei Wang
65
36
0
22 May 2020
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
Dong Wang
Yuan Zhang
Kexin Zhang
Liwei Wang
123
119
0
20 Mar 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
157
3,558
0
21 Jan 2020
Combining MixMatch and Active Learning for Better Accuracy with Fewer
  Labels
Combining MixMatch and Active Learning for Better Accuracy with Fewer Labels
Shuang Song
David Berthelot
Afshin Rostamizadeh
72
33
0
02 Dec 2019
Unsupervised Reinforcement Learning of Transferable Meta-Skills for
  Embodied Navigation
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
Juncheng Li
Xinze Wang
Siliang Tang
Haizhou Shi
Leilei Gan
Yueting Zhuang
William Yang Wang
SSL
80
69
0
18 Nov 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
307
2,387
0
11 Nov 2019
Consistency-based Semi-supervised Active Learning: Towards Minimizing
  Labeling Cost
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost
M. Gao
Zizhao Zhang
Guo-Ding Yu
Sercan O. Arik
L. Davis
Tomas Pfister
203
200
0
16 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
239
3,490
0
30 Sep 2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Eric Arazo
Diego Ortego
Paul Albert
Noel E. O'Connor
Kevin McGuinness
119
841
0
08 Aug 2019
Walking with MIND: Mental Imagery eNhanceD Embodied QA
Walking with MIND: Mental Imagery eNhanceD Embodied QA
Juncheng Li
Siliang Tang
Leilei Gan
Yueting Zhuang
48
23
0
05 Aug 2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks
Uncertainty-guided Continual Learning with Bayesian Neural Networks
Sayna Ebrahimi
Mohamed Elhoseiny
Trevor Darrell
Marcus Rohrbach
CLLBDL
61
197
0
06 Jun 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot
Nicholas Carlini
Ian Goodfellow
Nicolas Papernot
Avital Oliver
Colin Raffel
145
3,029
0
06 May 2019
Unsupervised Data Augmentation for Consistency Training
Unsupervised Data Augmentation for Consistency Training
Qizhe Xie
Zihang Dai
Eduard H. Hovy
Minh-Thang Luong
Quoc V. Le
135
2,316
0
29 Apr 2019
Variational Adversarial Active Learning
Variational Adversarial Active Learning
Samarth Sinha
Sayna Ebrahimi
Trevor Darrell
GANDRLVLMSSL
122
579
0
31 Mar 2019
Interpolation Consistency Training for Semi-Supervised Learning
Interpolation Consistency Training for Semi-Supervised Learning
Vikas Verma
Kenji Kawaguchi
Alex Lamb
Arno Solin
Arno Solin
Yoshua Bengio
David Lopez-Paz
107
770
0
09 Mar 2019
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in
  Semantic Segmentation
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Tuan-Hung Vu
Himalaya Jain
Max Bucher
Matthieu Cord
P. Pérez
128
1,295
0
30 Nov 2018
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
101
6,145
0
18 Jul 2018
Feature Affinity based Pseudo Labeling for Semi-supervised Person
  Re-identification
Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification
Guodong Ding
Shanshan Zhang
Salman Khan
Zhenmin Tang
Jian Zhang
Fatih Porikli
76
58
0
16 May 2018
Robust Classification with Convolutional Prototype Learning
Robust Classification with Convolutional Prototype Learning
Hong-Ming Yang
Xu-Yao Zhang
Fei Yin
Cheng-Lin Liu
63
342
0
09 May 2018
Interactive Medical Image Segmentation using Deep Learning with
  Image-specific Fine-tuning
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning
Guotai Wang
Wenqi Li
Maria A. Zuluaga
R. Pratt
P. Patel
...
T. Doel
A. David
Jan Deprest
Sebastien Ourselin
Tom Vercauteren
94
690
0
11 Oct 2017
Deep Learning for Medical Image Analysis
Deep Learning for Medical Image Analysis
Mina Rezaei
Haojin Yang
Christoph Meinel
75
2,064
0
17 Aug 2017
Good Semi-supervised Learning that Requires a Bad GAN
Good Semi-supervised Learning that Requires a Bad GAN
Zihang Dai
Zhilin Yang
Fan Yang
William W. Cohen
Ruslan Salakhutdinov
GAN
55
483
0
27 May 2017
Virtual Adversarial Training: A Regularization Method for Supervised and
  Semi-Supervised Learning
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato
S. Maeda
Masanori Koyama
S. Ishii
GAN
148
2,734
0
13 Apr 2017
Deep Bayesian Active Learning with Image Data
Deep Bayesian Active Learning with Image Data
Y. Gal
Riashat Islam
Zoubin Ghahramani
BDLUQCV
70
1,735
0
08 Mar 2017
Face Detection with the Faster R-CNN
Face Detection with the Faster R-CNN
Huaizu Jiang
Erik Learned-Miller
CVBMObjD
58
672
0
10 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Learning with Pseudo-Ensembles
Learning with Pseudo-Ensembles
Philip Bachman
O. Alsharif
Doina Precup
89
598
0
16 Dec 2014
A Model of Inductive Bias Learning
A Model of Inductive Bias Learning
Jonathan Baxter
109
1,214
0
01 Jun 2011
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