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UMAD: Universal Model Adaptation under Domain and Category Shift

UMAD: Universal Model Adaptation under Domain and Category Shift

16 December 2021
Jian Liang
Dapeng Hu
Jiashi Feng
R. He
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Papers citing "UMAD: Universal Model Adaptation under Domain and Category Shift"

11 / 11 papers shown
Title
Analysis of Pseudo-Labeling for Online Source-Free Universal Domain Adaptation
Analysis of Pseudo-Labeling for Online Source-Free Universal Domain Adaptation
Pascal Schlachter
Jonathan Fuss
Bin Yang
34
0
0
16 Apr 2025
Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
Peihua Deng
Jiehua Zhang
Xichun Sheng
C. Yan
Yaoqi Sun
Ying Fu
Liang-Sheng Li
CLL
74
1
0
25 Nov 2024
Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain
  Adaptation using a Gaussian Mixture Model
Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model
Pascal Schlachter
Simon Wagner
Bin Yang
TTA
38
1
0
19 Jul 2024
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
Sanqing Qu
Tianpei Zou
Lianghua He
Florian Röhrbein
Alois C. Knoll
Guang Chen
Changjun Jiang
45
12
0
06 Mar 2024
Towards Adaptive Unknown Authentication for Universal Domain Adaptation
  by Classifier Paradox
Towards Adaptive Unknown Authentication for Universal Domain Adaptation by Classifier Paradox
Yunyun Wang
Yaojie Liu
Songcan Chen
6
1
0
10 Jul 2022
Domain Impression: A Source Data Free Domain Adaptation Method
Domain Impression: A Source Data Free Domain Adaptation Method
V. Kurmi
Venkatesh Subramanian
Vinay P. Namboodiri
TTA
147
150
0
17 Feb 2021
Source Data-absent Unsupervised Domain Adaptation through Hypothesis
  Transfer and Labeling Transfer
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
Jian Liang
Dapeng Hu
Yunbo Wang
R. He
Jiashi Feng
140
250
0
14 Dec 2020
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
48
142
0
24 Jul 2020
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
Jian Liang
Yunbo Wang
Dapeng Hu
R. He
Jiashi Feng
163
105
0
05 Mar 2020
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
270
5,660
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
282
9,136
0
06 Jun 2015
1