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Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation
  with Target-private Class Segregation

Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation with Target-private Class Segregation

16 April 2024
Mattia Litrico
Davide Talon
S. Battiato
Alessio Del Bue
M. Giuffrida
Pietro Morerio
    UQCV
ArXivPDFHTML

Papers citing "Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation with Target-private Class Segregation"

7 / 7 papers shown
Title
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An
  In-depth Empirical Analysis
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis
Andrea Maracani
Raffaello Camoriano
Elisa Maiettini
Davide Talon
Lorenzo Rosasco
Lorenzo Natale
39
1
0
25 Feb 2024
Guiding Pseudo-labels with Uncertainty Estimation for Source-free
  Unsupervised Domain Adaptation
Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain Adaptation
Mattia Litrico
Alessio Del Bue
Pietro Morerio
UQCV
37
59
0
07 Mar 2023
Subsidiary Prototype Alignment for Universal Domain Adaptation
Subsidiary Prototype Alignment for Universal Domain Adaptation
Jogendra Nath Kundu
Suvaansh Bhambri
Akshay Ravindra Kulkarni
Hiran Sarkar
Varun Jampani
R. Venkatesh Babu
37
21
0
28 Oct 2022
Self-Adversarial Disentangling for Specific Domain Adaptation
Self-Adversarial Disentangling for Specific Domain Adaptation
Qianyu Zhou
Qiqi Gu
Jiangmiao Pang
Xuequan Lu
Lizhuang Ma
66
49
0
08 Aug 2021
On the Effectiveness of Image Rotation for Open Set Domain Adaptation
On the Effectiveness of Image Rotation for Open Set Domain Adaptation
S. Bucci
Mohammad Reza Loghmani
Tatiana Tommasi
50
142
0
24 Jul 2020
Combating noisy labels by agreement: A joint training method with
  co-regularization
Combating noisy labels by agreement: A joint training method with co-regularization
Hongxin Wei
Lei Feng
Xiangyu Chen
Bo An
NoLa
313
498
0
05 Mar 2020
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
177
9,327
0
28 May 2015
1