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Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results

Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

6 March 2017
Antti Tarvainen
Harri Valpola
    OOD
    MoMe
ArXivPDFHTML

Papers citing "Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results"

50 / 237 papers shown
Title
DAFormer: Improving Network Architectures and Training Strategies for
  Domain-Adaptive Semantic Segmentation
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
Lukas Hoyer
Dengxin Dai
Luc Van Gool
AI4CE
18
450
0
29 Nov 2021
Cross-Domain Adaptive Teacher for Object Detection
Cross-Domain Adaptive Teacher for Object Detection
Yu-Jhe Li
Xiaoliang Dai
Chih-Yao Ma
Yen-Cheng Liu
Kan Chen
Bichen Wu
Zijian He
Kris M. Kitani
Peter Vajda
ObjD
54
174
0
25 Nov 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
36
76
0
25 Nov 2021
Perturbed and Strict Mean Teachers for Semi-supervised Semantic
  Segmentation
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
Yuyuan Liu
Yu Tian
Yuanhong Chen
Fengbei Liu
Vasileios Belagiannis
G. Carneiro
27
175
0
25 Nov 2021
UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language
  Modeling
UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling
Zhengyuan Yang
Zhe Gan
Jianfeng Wang
Xiaowei Hu
Faisal Ahmed
Zicheng Liu
Yumao Lu
Lijuan Wang
19
111
0
23 Nov 2021
HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised
  Learning
HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised Learning
Ashima Garg
Shaurya Bagga
Yashvardhan Singh
Saket Anand
22
12
0
30 Oct 2021
Neural Analysis and Synthesis: Reconstructing Speech from
  Self-Supervised Representations
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations
Hyeong-Seok Choi
Juheon Lee
W. Kim
Jie Hwan Lee
Hoon Heo
Kyogu Lee
20
150
0
27 Oct 2021
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled
  Samples
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
Yi Xu
Jiandong Ding
Lu Zhang
Shuigeng Zhou
31
32
0
26 Oct 2021
Semi-Supervised Semantic Segmentation of Vessel Images using Leaking
  Perturbations
Semi-Supervised Semantic Segmentation of Vessel Images using Leaking Perturbations
Jinyong Hou
Xuejie Ding
Jeremiah D. Deng
MedIm
24
19
0
22 Oct 2021
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised
  Learning
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
Hyuck Lee
Seungjae Shin
Heeyoung Kim
CLL
13
90
0
20 Oct 2021
Virtual Augmentation Supported Contrastive Learning of Sentence
  Representations
Virtual Augmentation Supported Contrastive Learning of Sentence Representations
Dejiao Zhang
Wei Xiao
Henghui Zhu
Xiaofei Ma
Andrew O. Arnold
SSL
48
29
0
16 Oct 2021
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic
  Segmentation using Patch-level Classification Labels
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels
Chu Han
Jiatai Lin
Jinhai Mai
Yi Wang
Qingling Zhang
...
Zeyan Xu
Xiaomei Huang
Guoqiang Han
Chang-xiu Liang
Zaiyi Liu
24
88
0
14 Oct 2021
Couple Learning for semi-supervised sound event detection
Couple Learning for semi-supervised sound event detection
Ruijie Tao
Long Yan
Kazushige Ouchi
Xiangdong Wang
14
2
0
12 Oct 2021
Adaptive Early-Learning Correction for Segmentation from Noisy
  Annotations
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations
Sheng Liu
Kangning Liu
Weicheng Zhu
Yiqiu Shen
C. Fernandez‐Granda
NoLa
26
104
0
07 Oct 2021
Decoupled Adaptation for Cross-Domain Object Detection
Decoupled Adaptation for Cross-Domain Object Detection
Junguang Jiang
Baixu Chen
Jianmin Wang
Mingsheng Long
ObjD
64
64
0
06 Oct 2021
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher
  Framework
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
Tengteng Huang
Yifan Sun
Xun Wang
Haotian Yao
Chi Zhang
15
3
0
04 Oct 2021
Deep Learning-based Action Detection in Untrimmed Videos: A Survey
Deep Learning-based Action Detection in Untrimmed Videos: A Survey
Elahe Vahdani
Yingli Tian
40
60
0
30 Sep 2021
Hybrid Dynamic Contrast and Probability Distillation for Unsupervised
  Person Re-Id
Hybrid Dynamic Contrast and Probability Distillation for Unsupervised Person Re-Id
De-Chun Cheng
Jingyu Zhou
N. Wang
Xinbo Gao
17
58
0
29 Sep 2021
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning
  for Semi-supervised Medical Image Segmentation
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
Zhe Xu
Yixin Wang
Donghuan Lu
Lequan Yu
Jiangpeng Yan
Jie Luo
Kai Ma
Yefeng Zheng
R. Tong
35
55
0
28 Sep 2021
Data Summarization via Bilevel Optimization
Data Summarization via Bilevel Optimization
Zalan Borsos
Mojmír Mutný
Marco Tagliasacchi
Andreas Krause
28
8
0
26 Sep 2021
Learning to Robustly Aggregate Labeling Functions for Semi-supervised
  Data Programming
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming
Ayush Maheshwari
Krishnateja Killamsetty
Ganesh Ramakrishnan
Rishabh K. Iyer
Marina Danilevsky
Lucian Popa
30
16
0
23 Sep 2021
Parameter Decoupling Strategy for Semi-supervised 3D Left Atrium
  Segmentation
Parameter Decoupling Strategy for Semi-supervised 3D Left Atrium Segmentation
Xuanting Hao
Shengbo Gao
Lijie Sheng
Jicong Zhang
27
3
0
20 Sep 2021
Built Year Prediction from Buddha Face with Heterogeneous Labels
Built Year Prediction from Buddha Face with Heterogeneous Labels
Yiming Qian
Cheikh Brahim El Vaigh
Yuta Nakashima
B. Renoust
Hajime Nagahara
Yutaka Fujioka
CVBM
21
3
0
02 Sep 2021
Deep Dive into Semi-Supervised ELBO for Improving Classification
  Performance
Deep Dive into Semi-Supervised ELBO for Improving Classification Performance
Fahim Faisal Niloy
M. A. Amin
Akm Mahbubur Rahman
A. Ali
DRL
19
0
0
29 Aug 2021
Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain
Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain
Sajad Darabi
Shayan Fazeli
Ali Pazoki
S. Sankararaman
Majid Sarrafzadeh
SSL
26
29
0
27 Aug 2021
Temporal Knowledge Consistency for Unsupervised Visual Representation
  Learning
Temporal Knowledge Consistency for Unsupervised Visual Representation Learning
Wei Feng
Yuanjiang Wang
Lihua Ma
Ye Yuan
Chi Zhang
SSL
11
13
0
24 Aug 2021
MvSR-NAT: Multi-view Subset Regularization for Non-Autoregressive
  Machine Translation
MvSR-NAT: Multi-view Subset Regularization for Non-Autoregressive Machine Translation
Pan Xie
Zexian Li
Xiaohui Hu
26
11
0
19 Aug 2021
G-DetKD: Towards General Distillation Framework for Object Detectors via
  Contrastive and Semantic-guided Feature Imitation
G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-guided Feature Imitation
Lewei Yao
Renjie Pi
Hang Xu
Wei Zhang
Zhenguo Li
Tong Zhang
29
34
0
17 Aug 2021
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for
  Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature
  Densities
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities
Saul Calderon-Ramirez
Shengxiang-Yang
David Elizondo
Armaghan Moemeni
OOD
28
24
0
17 Aug 2021
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for
  Open-Set Semi-Supervised Learning
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning
Junkai Huang
Chaowei Fang
Weikai Chen
Z. Chai
Xiaolin K. Wei
Pengxu Wei
Liang Lin
Guanbin Li
OODD
48
63
0
12 Aug 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data
  Augmentation
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
C. L. P. Chen
C. Qin
C. Ouyang
Zeju Li
Shuo Wang
Huaqi Qiu
Liang Chen
G. Tarroni
Wenjia Bai
Daniel Rueckert
GAN
MedIm
54
40
0
07 Aug 2021
Semi-Supervised Active Learning with Temporal Output Discrepancy
Semi-Supervised Active Learning with Temporal Output Discrepancy
Siyu Huang
Tianyang Wang
Haoyi Xiong
Jun Huan
Dejing Dou
UQCV
20
66
0
29 Jul 2021
Clustering by Maximizing Mutual Information Across Views
Clustering by Maximizing Mutual Information Across Views
Kien Do
T. Tran
Svetha Venkatesh
VLM
SSL
11
37
0
24 Jul 2021
Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency
Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency
Zhipeng Luo
Zhongang Cai
Changqing Zhou
Gong-Duo Zhang
Haiyu Zhao
Shuai Yi
Shijian Lu
Hongsheng Li
Shanghang Zhang
Ziwei Liu
3DPC
16
84
0
23 Jul 2021
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic
  Segmentation: A Baseline Investigation
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation
Ruifei He
Jihan Yang
Xiaojuan Qi
13
115
0
23 Jul 2021
MCDAL: Maximum Classifier Discrepancy for Active Learning
MCDAL: Maximum Classifier Discrepancy for Active Learning
Jae-Won Cho
Dong-Jin Kim
Yunjae Jung
In So Kweon
14
46
0
23 Jul 2021
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic
  Segmentation
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation
Li Gao
Jing Zhang
Lefei Zhang
Dacheng Tao
21
85
0
20 Jul 2021
Self Training with Ensemble of Teacher Models
Self Training with Ensemble of Teacher Models
Soumyadeep Ghosh
Sanjay Kumar
Janu Verma
Awanish Kumar
25
3
0
17 Jul 2021
Geographical Knowledge-driven Representation Learning for Remote Sensing
  Images
Geographical Knowledge-driven Representation Learning for Remote Sensing Images
Wenyuan Li
Keyan Chen
Hao Chen
Zhenwei Shi
SSL
38
64
0
12 Jul 2021
Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point
  Clouds
Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point Clouds
Shuang Deng
Qiulei Dong
Bo Liu
Zhanyi Hu
3DPC
19
27
0
08 Jul 2021
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
Xin Zhou
Aixin Sun
Yong-jin Liu
Jie M. Zhang
C. Miao
SSL
25
76
0
07 Jul 2021
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation
Ankit Singh
26
108
0
30 Jun 2021
AutoNovel: Automatically Discovering and Learning Novel Visual
  Categories
AutoNovel: Automatically Discovering and Learning Novel Visual Categories
Kai Han
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Andrea Vedaldi
Andrew Zisserman
SSL
13
123
0
29 Jun 2021
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training
  Object Detection
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection
Ismail Elezi
Zhiding Yu
Anima Anandkumar
Laura Leal-Taixe
J. Álvarez
ObjD
16
39
0
22 Jun 2021
Humble Teachers Teach Better Students for Semi-Supervised Object
  Detection
Humble Teachers Teach Better Students for Semi-Supervised Object Detection
Yihe Tang
Weifeng Chen
Yijun Luo
Yuting Zhang
34
177
0
19 Jun 2021
End-to-End Semi-Supervised Object Detection with Soft Teacher
End-to-End Semi-Supervised Object Detection with Soft Teacher
Mengde Xu
Zheng-Wei Zhang
Han Hu
Jianfeng Wang
Lijuan Wang
Fangyun Wei
X. Bai
Zicheng Liu
28
487
0
16 Jun 2021
Named Entity Recognition with Small Strongly Labeled and Large Weakly
  Labeled Data
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
Haoming Jiang
Danqing Zhang
Tianyu Cao
Bing Yin
T. Zhao
NoLa
22
44
0
16 Jun 2021
Federated Semi-supervised Medical Image Classification via Inter-client
  Relation Matching
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching
Quande Liu
Hongzhen Yang
Qi Dou
Pheng-Ann Heng
FedML
22
76
0
16 Jun 2021
Refining Pseudo Labels with Clustering Consensus over Generations for
  Unsupervised Object Re-identification
Refining Pseudo Labels with Clustering Consensus over Generations for Unsupervised Object Re-identification
Xiao Zhang
Yixiao Ge
Yu Qiao
Hongsheng Li
19
96
0
11 Jun 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced
  Semi-Supervised Learning
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning
Youngtaek Oh
Dong-Jin Kim
In So Kweon
34
62
0
10 Jun 2021
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