ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1908.09822
  4. Cited By
Confidence Regularized Self-Training

Confidence Regularized Self-Training

26 August 2019
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
ArXivPDFHTML

Papers citing "Confidence Regularized Self-Training"

41 / 141 papers shown
Title
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
Unsupervised Domain Adaptation for Video Semantic Segmentation
Unsupervised Domain Adaptation for Video Semantic Segmentation
Inkyu Shin
Kwanyong Park
Sanghyun Woo
In So Kweon
11
10
0
23 Jul 2021
Domain Adaptive Video Segmentation via Temporal Consistency
  Regularization
Domain Adaptive Video Segmentation via Temporal Consistency Regularization
Dayan Guan
Jiaxing Huang
Aoran Xiao
Shijian Lu
10
37
0
23 Jul 2021
Gradual Domain Adaptation in the Wild:When Intermediate Distributions
  are Absent
Gradual Domain Adaptation in the Wild:When Intermediate Distributions are Absent
Samira Abnar
Rianne van den Berg
Golnaz Ghiasi
Mostafa Dehghani
Nal Kalchbrenner
Hanie Sedghi
OOD
CLL
TTA
13
20
0
10 Jun 2021
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking
Jiaxing Huang
Dayan Guan
Aoran Xiao
Shijian Lu
AAML
27
76
0
05 Jun 2021
Semi-supervised Models are Strong Unsupervised Domain Adaptation
  Learners
Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners
Yabin Zhang
Haojian Zhang
Bin Deng
Shuai Li
K. Jia
Lei Zhang
13
25
0
01 Jun 2021
Self-supervised Augmentation Consistency for Adapting Semantic
  Segmentation
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation
Nikita Araslanov
Stefan Roth
22
226
0
30 Apr 2021
Domain Adaptive Semantic Segmentation with Self-Supervised Depth
  Estimation
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation
Qin Wang
Dengxin Dai
Lukas Hoyer
Luc Van Gool
Olga Fink
OOD
MDE
45
139
0
28 Apr 2021
MIST: Multiple Instance Self-Training Framework for Video Anomaly
  Detection
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection
Jianfeng Feng
Fa-Ting Hong
Weishi Zheng
17
240
0
04 Apr 2021
Leveraging Self-Supervision for Cross-Domain Crowd Counting
Leveraging Self-Supervision for Cross-Domain Crowd Counting
Weizhe Liu
N. Durasov
Pascal Fua
13
40
0
30 Mar 2021
Learning to Track with Object Permanence
Learning to Track with Object Permanence
P. Tokmakov
Jie Li
Wolfram Burgard
Adrien Gaidon
VOT
39
201
0
26 Mar 2021
On Evolving Attention Towards Domain Adaptation
On Evolving Attention Towards Domain Adaptation
Kekai Sheng
Ke Li
Xiawu Zheng
Jian Liang
Weiming Dong
Feiyue Huang
Rongrong Ji
Xing Sun
22
7
0
25 Mar 2021
MLAN: Multi-Level Adversarial Network for Domain Adaptive Semantic
  Segmentation
MLAN: Multi-Level Adversarial Network for Domain Adaptive Semantic Segmentation
Jiaxing Huang
Dayan Guan
Shijian Lu
Aoran Xiao
17
43
0
24 Mar 2021
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation
Naveen Venkat
Jogendra Nath Kundu
D. K. Singh
Ambareesh Revanur
R. VenkateshBabu
17
69
0
20 Mar 2021
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object
  Detection
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection
Jihan Yang
Shaoshuai Shi
Zhe Wang
Hongsheng Li
Xiaojuan Qi
3DPC
11
187
0
09 Mar 2021
Offboard 3D Object Detection from Point Cloud Sequences
Offboard 3D Object Detection from Point Cloud Sequences
C. Qi
Yin Zhou
Mahyar Najibi
Pei Sun
Khoa T. Vo
Boyang Deng
Dragomir Anguelov
3DPC
26
174
0
08 Mar 2021
Cycle Self-Training for Domain Adaptation
Cycle Self-Training for Domain Adaptation
Hong Liu
Jianmin Wang
Mingsheng Long
15
174
0
05 Mar 2021
FSDR: Frequency Space Domain Randomization for Domain Generalization
FSDR: Frequency Space Domain Randomization for Domain Generalization
Jiaxing Huang
Dayan Guan
Aoran Xiao
Shijian Lu
22
218
0
03 Mar 2021
Multi-source Pseudo-label Learning of Semantic Segmentation for the
  Scene Recognition of Agricultural Mobile Robots
Multi-source Pseudo-label Learning of Semantic Segmentation for the Scene Recognition of Agricultural Mobile Robots
Shigemichi Matsuzaki
J. Miura
Hiroaki Masuzawa
16
9
0
12 Feb 2021
Energy-constrained Self-training for Unsupervised Domain Adaptation
Energy-constrained Self-training for Unsupervised Domain Adaptation
Xiaofeng Liu
Bo Hu
Xiongchang Liu
Jun Lu
J. You
Lingsheng Kong
36
29
0
01 Jan 2021
Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature
  Redundancy
Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature Redundancy
Mengzhu Wang
Xiang Zhang
L. Lan
Wei Wang
Huibin Tan
Zhigang Luo
AI4CE
21
1
0
28 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
21
47
0
11 Dec 2020
Exploiting Diverse Characteristics and Adversarial Ambivalence for
  Domain Adaptive Segmentation
Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation
Bowen Cai
Huan Fu
Rongfei Jia
Binqiang Zhao
Hua Li
Yinghui Xu
31
4
0
10 Dec 2020
Two-phase Pseudo Label Densification for Self-training based Domain
  Adaptation
Two-phase Pseudo Label Densification for Self-training based Domain Adaptation
Inkyu Shin
Sanghyun Woo
Fei Pan
InSo Kweon
19
113
0
09 Dec 2020
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions
  Segmentation
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation
Jiahua Dong
Yang Cong
Gan Sun
Yunsheng Yang
Xiaowei Xu
Zhengming Ding
MedIm
17
36
0
08 Dec 2020
Heuristic Domain Adaptation
Heuristic Domain Adaptation
Shuhao Cui
Xuan Jin
Shuhui Wang
Yuan He
Qingming Huang
19
49
0
30 Nov 2020
Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal
  and Clustered Embeddings
Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings
Marco Toldo
Umberto Michieli
Pietro Zanuttigh
OOD
16
44
0
25 Nov 2020
UFO$^2$: A Unified Framework towards Omni-supervised Object Detection
UFO2^22: A Unified Framework towards Omni-supervised Object Detection
Zhongzheng Ren
Zhiding Yu
Xiaodong Yang
Ming-Yu Liu
A. Schwing
Jan Kautz
ObjD
188
35
0
21 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep
  Learning through Adversarial Robustness
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
19
48
0
19 Oct 2020
My Health Sensor, my Classifier: Adapting a Trained Classifier to
  Unlabeled End-User Data
My Health Sensor, my Classifier: Adapting a Trained Classifier to Unlabeled End-User Data
K. Nikolaidis
Stein Kristiansen
T. Plagemann
V. Goebel
Knut Liestøl
...
G. Traaen
Britt Overland
Harriet Akre
L. Aakerøy
S. Steinshamn
OOD
29
1
0
22 Sep 2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
Sicheng Zhao
Xiangyu Yue
Shanghang Zhang
Bo-wen Li
Han Zhao
...
Ravi Krishna
Joseph E. Gonzalez
Alberto L. Sangiovanni-Vincentelli
S. Seshia
Kurt Keutzer
29
263
0
01 Sep 2020
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain
  Adaptation
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation
Jiahua Dong
Yang Cong
Gan Sun
Yuyang Liu
Xiaowei Xu
23
42
0
24 Aug 2020
Automated Synthetic-to-Real Generalization
Automated Synthetic-to-Real Generalization
Wuyang Chen
Zhiding Yu
Zhangyang Wang
Anima Anandkumar
4
68
0
14 Jul 2020
Hierarchical Multi-Scale Attention for Semantic Segmentation
Hierarchical Multi-Scale Attention for Semantic Segmentation
Andrew Tao
Karan Sapra
Bryan Catanzaro
SSeg
26
449
0
21 May 2020
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization
  under Label Insufficient Situations
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations
Shuhao Cui
Shuhui Wang
Junbao Zhuo
Liang Li
Qingming Huang
Q. Tian
18
359
0
27 Mar 2020
Understanding Self-Training for Gradual Domain Adaptation
Understanding Self-Training for Gradual Domain Adaptation
Ananya Kumar
Tengyu Ma
Percy Liang
CLL
TTA
22
226
0
26 Feb 2020
Unsupervised Scene Adaptation with Memory Regularization in vivo
Unsupervised Scene Adaptation with Memory Regularization in vivo
Zhedong Zheng
Yi Yang
CLL
11
117
0
24 Dec 2019
Angular Visual Hardness
Angular Visual Hardness
Beidi Chen
Weiyang Liu
Zhiding Yu
Jan Kautz
Anshumali Shrivastava
Animesh Garg
Anima Anandkumar
AAML
35
51
0
04 Dec 2019
Conservative Wasserstein Training for Pose Estimation
Conservative Wasserstein Training for Pose Estimation
Xiaofeng Liu
Yang Zou
Tong Che
Peng Ding
P. Jia
J. You
Kumar B.V.K
21
33
0
03 Nov 2019
Fully Convolutional Adaptation Networks for Semantic Segmentation
Fully Convolutional Adaptation Networks for Semantic Segmentation
Yiheng Zhang
Zhaofan Qiu
Ting Yao
Dong Liu
Tao Mei
SSeg
OOD
158
349
0
23 Apr 2018
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
Antti Tarvainen
Harri Valpola
OOD
MoMe
244
1,275
0
06 Mar 2017
Previous
123