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Contrastive Learning and Self-Training for Unsupervised Domain
  Adaptation in Semantic Segmentation

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
ArXivPDFHTML

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
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
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation
Chuanglu Zhu
Kebin Liu
Wenqi Tang
Ke Mei
Jiaqi Zou
Tiejun Huang
54
1
0
14 Feb 2023
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation
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
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
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
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
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
Zhedong Zheng
Yi Yang
NoLa
185
497
0
08 Mar 2020
Confidence Regularized Self-Training
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
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