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Context-Aware Mixup for Domain Adaptive Semantic Segmentation

Context-Aware Mixup for Domain Adaptive Semantic Segmentation

8 August 2021
Qianyu Zhou
Zhengyang Feng
Qiqi Gu
Jiangmiao Pang
Guangliang Cheng
Xuequan Lu
Jianping Shi
Lizhuang Ma
ArXivPDFHTML

Papers citing "Context-Aware Mixup for Domain Adaptive Semantic Segmentation"

6 / 6 papers shown
Title
Self-Adversarial Disentangling for Specific Domain Adaptation
Self-Adversarial Disentangling for Specific Domain Adaptation
Qianyu Zhou
Qiqi Gu
Jiangmiao Pang
Xuequan Lu
Lizhuang Ma
22
38
0
08 Aug 2021
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in
  Semantic Scene Segmentation
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation
Thanh-Dat Truong
C. Duong
Ngan Le
S. L. Phung
Chase Rainwater
Khoa Luu
32
34
0
06 Aug 2021
Differential Treatment for Stuff and Things: A Simple Unsupervised
  Domain Adaptation Method for Semantic Segmentation
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
Zhonghao Wang
Mo Yu
Yunchao Wei
Rogerio Feris
Jinjun Xiong
Wen-mei W. Hwu
Thomas S. Huang
Humphrey Shi
OOD
163
215
0
18 Mar 2020
Label-Driven Reconstruction for Domain Adaptation in Semantic
  Segmentation
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation
Jinyu Yang
Weizhi An
Sheng Wang
Xinliang Zhu
Chao-chao Yan
Junzhou Huang
32
104
0
10 Mar 2020
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
200
723
0
26 Aug 2019
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
241
1,338
0
06 Mar 2017
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