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Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation
5 May 2021
Robert A. Marsden
Alexander Bartler
Mario Döbler
Binh Yang
SSL
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Papers citing
"Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation"
9 / 9 papers shown
Title
Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation
Tianyu Li
Subhankar Roy
Huayi Zhou
Hongtao Lu
Stéphane Lathuilière
21
12
0
15 Jun 2023
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation
Chuanglu Zhu
Kebin Liu
Wenqi Tang
Ke Mei
Jiaqi Zou
Tiejun Huang
51
1
0
14 Feb 2023
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation
Feihu Zhang
V. Koltun
Philip H. S. Torr
René Ranftl
Stephan R. Richter
15
6
0
18 Apr 2022
An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation
Biao Gao
Xijun Zhao
Huijing Zhao
39
12
0
18 Feb 2022
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank
Inigo Alonso
Alberto Sabater
David Ferstl
Luis Montesano
Ana C. Murillo
SSL
CLL
121
203
0
27 Apr 2021
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
184
232
0
18 Mar 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
Zhedong Zheng
Yi Yang
NoLa
182
497
0
08 Mar 2020
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
230
789
0
26 Aug 2019
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
1