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Multiple Fusion Adaptation: A Strong Framework for Unsupervised Semantic
  Segmentation Adaptation

Multiple Fusion Adaptation: A Strong Framework for Unsupervised Semantic Segmentation Adaptation

1 December 2021
Kai Zhang
Yifan Sun
Rui Wang
Haichang Li
Xiaohui Hu
ArXiv (abs)PDFHTMLGithub (10★)

Papers citing "Multiple Fusion Adaptation: A Strong Framework for Unsupervised Semantic Segmentation Adaptation"

4 / 4 papers shown
Title
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes
J. L. Gómez
Manuel Silva
Antonio Seoane
Agnes Borrás
Mario Noriega
Germán Ros
Jose A. Iglesias-Guitian
Antonio M. López
3DPC
238
13
0
19 Dec 2023
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
Lukas Hoyer
Dengxin Dai
Haoran Wang
Luc Van Gool
139
230
0
02 Dec 2022
Bidirectional Self-Training with Multiple Anisotropic Prototypes for
  Domain Adaptive Semantic Segmentation
Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic Segmentation
Yulei Lu
Yawei Luo
Li Zhang
Zheyang Li
Yi Yang
Jun Xiao
OOD
59
29
0
16 Apr 2022
Probabilistic Contrastive Learning for Domain Adaptation
Probabilistic Contrastive Learning for Domain Adaptation
Junjie Li
Yixin Zhang
Zilei Wang
Saihui Hou
Keyu Tu
Man Zhang
163
15
0
11 Nov 2021
1