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Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World
  Surveillance

Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World Surveillance

18 November 2022
Sébastien Piérard
A. Cioppa
Anaïs Halin
Renaud Vandeghen
Maxime Zanella
Benoît Macq
Saïd Mahmoudi
Marc Van Droogenbroeck
ArXivPDFHTML

Papers citing "Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World Surveillance"

3 / 3 papers shown
Title
Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement
Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement
Shen Zheng
Gaurav Gupta
54
101
0
03 Oct 2021
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain
  Adaptation
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation
Sicheng Zhao
Bo-wen Li
Xiangyu Yue
Pengfei Xu
Kurt Keutzer
OOD
33
64
0
19 Feb 2020
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
243
1,817
0
18 Aug 2016
1