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Multiple Classifiers Based Maximum Classifier Discrepancy for
  Unsupervised Domain Adaptation

Multiple Classifiers Based Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

2 August 2021
Yiju Yang
Taejoon Kim
Guanghui Wang
ArXivPDFHTML

Papers citing "Multiple Classifiers Based Maximum Classifier Discrepancy for Unsupervised Domain Adaptation"

5 / 5 papers shown
Title
Is Generative Modeling-based Stylization Necessary for Domain Adaptation
  in Regression Tasks?
Is Generative Modeling-based Stylization Necessary for Domain Adaptation in Regression Tasks?
Jinman Park
Francois Barnard
Saad Hossain
Sirisha Rambhatla
Paul Fieguth
OOD
31
0
0
02 Jun 2023
An Unsupervised Domain Adaptation Model based on Dual-module Adversarial
  Training
An Unsupervised Domain Adaptation Model based on Dual-module Adversarial Training
Yiju Yang
Tianxiao Zhang
Guanyue Li
Taejoon Kim
Guanghui Wang
OOD
14
24
0
31 Dec 2021
Enhanced U-Net: A Feature Enhancement Network for Polyp Segmentation
Enhanced U-Net: A Feature Enhancement Network for Polyp Segmentation
Krushi Patel
A. Bur
Guanghui Wang
90
78
0
03 May 2021
SGNet: A Super-class Guided Network for Image Classification and Object
  Detection
SGNet: A Super-class Guided Network for Image Classification and Object Detection
Kaidong Li
Ningning Wang
Yiju Yang
Guanghui Wang
77
22
0
26 Apr 2021
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from
  Monocular images
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images
Lei He
Jiwen Lu
Guanghui Wang
Shiyu Song
Jie Zhou
25
69
0
19 Jan 2021
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