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Combating Noise: Semi-supervised Learning by Region Uncertainty
  Quantification

Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification

1 November 2021
Zhenyu Wang
Yali Li
Ye Guo
Shengjin Wang
    NoLa
ArXivPDFHTML

Papers citing "Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification"

14 / 14 papers shown
Title
Reliable Student: Addressing Noise in Semi-Supervised 3D Object
  Detection
Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection
Farzad Nozarian
Shashank Agarwal
Farzaneh Rezaeianaran
Danish Shahzad
Atanas Poibrenski
Christian Müller
P. Slusallek
NoLa
44
3
0
27 Apr 2024
Memory Consistency Guided Divide-and-Conquer Learning for Generalized
  Category Discovery
Memory Consistency Guided Divide-and-Conquer Learning for Generalized Category Discovery
Yuanpeng Tu
Zhun Zhong
Yuxi Li
Hengshuang Zhao
38
0
0
24 Jan 2024
Uncertainty-aware Self-training for Low-resource Neural Sequence
  Labeling
Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling
J. Wang
Chengyu Wang
Jun Huang
Ming Gao
Aoying Zhou
BDL
UQLM
NoLa
42
4
0
17 Feb 2023
Semi-Supervised Object Detection with Object-wise Contrastive Learning
  and Regression Uncertainty
Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty
H. Choi
Zhixiang Chen
Xuepeng Shi
Tae-Kyun Kim
19
4
0
06 Dec 2022
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in
  Autonomous Driving
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving
L. Yu
Yifan Zhang
Lanqing Hong
Fei Chen
Zhenguo Li
40
3
0
17 Oct 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
45
113
0
24 Aug 2022
S4OD: Semi-Supervised learning for Single-Stage Object Detection
S4OD: Semi-Supervised learning for Single-Stage Object Detection
Yueming Zhang
Xingxu Yao
Chao-Jung Liu
F. Chen
Xiaolin Song
Tengfei Xing
Runbo Hu
Hua Chai
Pengfei Xu
Guoshan Zhang
ObjD
36
7
0
09 Apr 2022
CrossRectify: Leveraging Disagreement for Semi-supervised Object
  Detection
CrossRectify: Leveraging Disagreement for Semi-supervised Object Detection
Cheng Ma
Xingjia Pan
QiXiang Ye
Fan Tang
Weiming Dong
Changsheng Xu
45
14
0
26 Jan 2022
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
241
509
0
15 Jan 2021
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
81
119
0
20 Mar 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain
  Adaptive Semantic Segmentation
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
Zhedong Zheng
Yi Yang
NoLa
191
497
0
08 Mar 2020
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
261
1,275
0
06 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
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