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Regularization With Stochastic Transformations and Perturbations for
  Deep Semi-Supervised Learning

Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning

14 June 2016
Mehdi S. M. Sajjadi
Mehran Javanmardi
Tolga Tasdizen
    BDL
ArXiv (abs)PDFHTML

Papers citing "Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning"

50 / 580 papers shown
Title
Data efficient deep learning for medical image analysis: A survey
Data efficient deep learning for medical image analysis: A survey
Suruchi Kumari
Pravendra Singh
90
12
0
10 Oct 2023
Cross-head mutual Mean-Teaching for semi-supervised medical image
  segmentation
Cross-head mutual Mean-Teaching for semi-supervised medical image segmentation
Wei Li
Ruifeng Bian
Wenyi Zhao
Weijing Xu
Huihua Yang
91
0
0
08 Oct 2023
Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose
  Estimation
Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation
Zhuoran Yu
Manchen Wang
Yanbei Chen
Paolo Favaro
Davide Modolo
3DH
55
1
0
29 Sep 2023
Generative Semi-supervised Learning with Meta-Optimized Synthetic
  Samples
Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples
Shinýa Yamaguchi
99
2
0
28 Sep 2023
Order-preserving Consistency Regularization for Domain Adaptation and
  Generalization
Order-preserving Consistency Regularization for Domain Adaptation and Generalization
Mengmeng Jing
Xiantong Zhen
Jingjing Li
Cees G. M. Snoek
95
4
0
23 Sep 2023
Realistic Website Fingerprinting By Augmenting Network Trace
Realistic Website Fingerprinting By Augmenting Network Trace
Alireza Bahramali
Ardavan Bozorgi
Amir Houmansadr
36
27
0
18 Sep 2023
Enhancing Sample Utilization through Sample Adaptive Augmentation in
  Semi-Supervised Learning
Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning
Guan Gui
Zhen Zhao
Lei Qi
Luping Zhou
Lei Wang
Yinghuan Shi
AAML
84
7
0
07 Sep 2023
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch
  Size
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size
John Chen
Chen Dun
Anastasios Kyrillidis
48
3
0
07 Sep 2023
Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for
  Semi-Supervised Medical Image Segmentation
Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation
Yuanbin Chen
Tao Wang
Hui Tang
Longxuan Zhao
Ruige Zong
Shun Chen
T. Tan
Xinlin Zhang
Tong Tong
63
2
0
31 Aug 2023
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint
  Inliers and Outliers Utilization
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization
Zekun Li
Lei Qi
Yinghuan Shi
Yang Gao
80
31
0
25 Aug 2023
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic
  Segmentation
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation
Chen Liang
Wenguan Wang
Jiaxu Miao
Yi Yang
NAI
102
34
0
24 Aug 2023
Semi-Supervised Learning via Weight-aware Distillation under Class
  Distribution Mismatch
Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch
Pan Du
Suyun Zhao
Zisen Sheng
Cuiping Li
Hong Chen
59
8
0
23 Aug 2023
Towards Generalizable Morph Attack Detection with Consistency
  Regularization
Towards Generalizable Morph Attack Detection with Consistency Regularization
Hossein Kashiani
Niloufar Alipour Talemi
Mohammad Saeed Ebrahimi Saadabadi
Nasser M. Nasrabadi
AAML
43
2
0
20 Aug 2023
MDCS: More Diverse Experts with Consistency Self-distillation for
  Long-tailed Recognition
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition
QiHao Zhao
Chen Jiang
Wei Hu
Fangying Zhang
Jun Liu
79
11
0
19 Aug 2023
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins
Tiberiu Sosea
Cornelia Caragea
84
12
0
17 Aug 2023
Boosting Semi-Supervised Learning by bridging high and low-confidence
  predictions
Boosting Semi-Supervised Learning by bridging high and low-confidence predictions
Khanh-Binh Nguyen
Joon-Sung Yang
88
9
0
15 Aug 2023
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
Lihe Yang
Zhen Zhao
Lei Qi
Yu Qiao
Yinghuan Shi
Hengshuang Zhao
52
16
0
13 Aug 2023
Pseudo-label Alignment for Semi-supervised Instance Segmentation
Pseudo-label Alignment for Semi-supervised Instance Segmentation
Jie Hu
Cheng Chen
Liujuan Cao
Shengchuan Zhang
Annan Shu
Guannan Jiang
Rongrong Ji
ISeg
93
15
0
10 Aug 2023
Pretrained deep models outperform GBDTs in Learning-To-Rank under label
  scarcity
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
Charlie Hou
K. K. Thekumparampil
Michael Shavlovsky
Giulia Fanti
Yesh Dattatreya
Sujay Sanghavi
LMTD
129
1
0
31 Jul 2023
Entropy Neural Estimation for Graph Contrastive Learning
Entropy Neural Estimation for Graph Contrastive Learning
Yixuan Ma
Xiaolin Zhang
Peng Zhang
Kun Zhan
SSL
119
15
0
26 Jul 2023
Semi-Supervised Medical Image Segmentation with Co-Distribution
  Alignment
Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment
Tao Wang
Zhongzheng Huang
Jiawei Wu
Yuanzheng Cai
Zuoyong Li
OOD
91
4
0
24 Jul 2023
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with
  Vision-Language Models
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models
Xin Li
Sima Behpour
T. Doan
Wenbin He
Liangke Gou
Liu Ren
VLM
107
3
0
20 Jul 2023
STRAPPER: Preference-based Reinforcement Learning via Self-training
  Augmentation and Peer Regularization
STRAPPER: Preference-based Reinforcement Learning via Self-training Augmentation and Peer Regularization
Yachen Kang
Li He
Jinxin Liu
Zifeng Zhuang
Donglin Wang
79
1
0
19 Jul 2023
Boundary-weighted logit consistency improves calibration of segmentation
  networks
Boundary-weighted logit consistency improves calibration of segmentation networks
Neerav Karani
Neel Dey
Polina Golland
65
3
0
16 Jul 2023
Exploration and Exploitation of Unlabeled Data for Open-Set
  Semi-Supervised Learning
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning
Ganlong Zhao
Guanbin Li
Yipeng Qin
Jinjin Zhang
Z. Chai
Xiaolin K. Wei
Liang Lin
Yizhou Yu
50
1
0
30 Jun 2023
Low-Confidence Samples Mining for Semi-supervised Object Detection
Low-Confidence Samples Mining for Semi-supervised Object Detection
Guandu Liu
Fan Zhang
Tianxiang Pan
Bin Wang
47
2
0
28 Jun 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
90
3
0
26 Jun 2023
Semi-supervised learning made simple with self-supervised clustering
Semi-supervised learning made simple with self-supervised clustering
Enrico Fini
Pietro Astolfi
Alahari Karteek
Xavier Alameda-Pineda
Julien Mairal
Moin Nabi
Elisa Ricci
SSL
81
29
0
13 Jun 2023
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised
  Learning with Proper Calibration
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration
Emanuel Sanchez Aimar
Hannah Helgesen
Yonghao Xu
Marco Kuhlmann
Michael Felsberg
85
0
0
07 Jun 2023
CorrMatch: Label Propagation via Correlation Matching for
  Semi-Supervised Semantic Segmentation
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
Bo Sun
Yuqi Yang
Le Zhang
Ming-Ming Cheng
Qibin Hou
114
29
0
07 Jun 2023
Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
Haochen Wang
Yuchao Wang
Yujun Shen
Junsong Fan
Yuxi Wang
Zhaoxiang Zhang
UQCV
80
10
0
04 Jun 2023
Exploring the Boundaries of Semi-Supervised Facial Expression
  Recognition: Learning from In-Distribution, Out-of-Distribution, and
  Unconstrained Data
Exploring the Boundaries of Semi-Supervised Facial Expression Recognition: Learning from In-Distribution, Out-of-Distribution, and Unconstrained Data
Shuvendu Roy
Ali Etemad
62
0
0
02 Jun 2023
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
Shuvendu Roy
Ali Etemad
SSL
58
5
0
02 Jun 2023
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning
Yu Wang
Pengchong Qiao
Chang-rui Liu
Guoli Song
Xiawu Zheng
Jie Chen
OODD
94
11
0
29 May 2023
Universal Self-Adaptive Prompting
Universal Self-Adaptive Prompting
Xingchen Wan
Ruoxi Sun
Hootan Nakhost
H. Dai
Julian Martin Eisenschlos
Sercan O. Arik
Tomas Pfister
LRM
108
12
0
24 May 2023
Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
Yuhang Zang
Kaiyang Zhou
Chen Huang
Chen Change Loy
84
13
0
24 May 2023
DisCo: Distilled Student Models Co-training for Semi-supervised Text
  Mining
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining
Weifeng Jiang
Qianren Mao
Chenghua Lin
Jianxin Li
Ting Deng
Weiyi Yang
Ziyi Wang
30
3
0
20 May 2023
Leveraging Unlabelled Data in Multiple-Instance Learning Problems for
  Improved Detection of Parkinsonian Tremor in Free-Living Conditions
Leveraging Unlabelled Data in Multiple-Instance Learning Problems for Improved Detection of Parkinsonian Tremor in Free-Living Conditions
Alexandros Papadopoulos
A. Delopoulos
52
3
0
29 Apr 2023
Semi-Supervised RF Fingerprinting with Consistency-Based Regularization
Semi-Supervised RF Fingerprinting with Consistency-Based Regularization
Weidong Wang
Cheng Luo
Jiancheng An
Lu Gan
H. Liao
Chau Yuen
34
13
0
28 Apr 2023
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation
Suman Saha
Lukas Hoyer
Anton Obukhov
Dengxin Dai
Luc Van Gool
116
15
0
27 Apr 2023
Point-supervised Single-cell Segmentation via Collaborative Knowledge
  Sharing
Point-supervised Single-cell Segmentation via Collaborative Knowledge Sharing
Ji Yu
79
5
0
20 Apr 2023
ContraCluster: Learning to Classify without Labels by Contrastive
  Self-Supervision and Prototype-Based Semi-Supervision
ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision
Seongho Joe
Byoungjip Kim
Ho. Kang
Kyoungwon Park
Bogun Kim
Jaeseon Park
Joonseok Lee
Youngjune Gwon
SSL
60
1
0
19 Apr 2023
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical
  Image Segmentation
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation
Huimin Wu
Xuelong Li
Yiqun Lin
Kwang-Ting Cheng
126
23
0
15 Apr 2023
SOOD: Towards Semi-Supervised Oriented Object Detection
SOOD: Towards Semi-Supervised Oriented Object Detection
Weixin Hua
Dingkang Liang
Jingyu Li
Xiaolong Liu
Zhikang Zou
Xiaoqing Ye
Xiang Bai
93
39
0
10 Apr 2023
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video
  Representations for Semi-Supervised Action Recognition
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition
I. Dave
Mamshad Nayeem Rizve
Chong Chen
M. Shah
TTA
97
18
0
28 Mar 2023
ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical
  Consistency for Efficient Semi-supervised Learning
ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised Learning
Islam Nassar
Munawar Hayat
Ehsan Abbasnejad
Hamid Rezatofighi
Gholamreza Haffari
74
19
0
22 Mar 2023
Two-shot Video Object Segmentation
Two-shot Video Object Segmentation
Kun Yan
Xiao Li
Fangyun Wei
Jinglu Wang
Chenbin Zhang
Ping Wang
Yan Lu
VOS
47
16
0
21 Mar 2023
Less is More: Reducing Task and Model Complexity for 3D Point Cloud
  Semantic Segmentation
Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation
Li Li
Hubert P. H. Shum
T. Breckon
78
33
0
20 Mar 2023
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical
  Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
Xuzhe Zhang
Yu-Hsun Wu
S. Entringer
H. Simhan
Jia Guo
...
A. Jackowski
Haifeng Li
J. Posner
Andrew F. Laine
Yun Wang
OOD
101
14
0
16 Mar 2023
MixTeacher: Mining Promising Labels with Mixed Scale Teacher for
  Semi-Supervised Object Detection
MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection
Liang Liu
Boshen Zhang
Jiangning Zhang
Wuhao Zhang
Zhenye Gan
Guanzhong Tian
Wenjie Zhu
Yabiao Wang
Chengjie Wang
54
28
0
16 Mar 2023
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