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SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic
  Segmentation

SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation

19 April 2022
Binhui Xie
Shuang Li
Mingjiang Li
Chi Harold Liu
Gao Huang
Guoren Wang
ArXivPDFHTML

Papers citing "SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation"

25 / 25 papers shown
Title
What is the Added Value of UDA in the VFM Era?
What is the Added Value of UDA in the VFM Era?
B. B. Englert
Tommie Kerssies
Gijs Dubbelman
39
0
0
25 Apr 2025
GenGMM: Generalized Gaussian-Mixture-based Domain Adaptation Model for
  Semantic Segmentation
GenGMM: Generalized Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation
Nazanin Moradinasab
Hassan Jafarzadeh
Donald E. Brown
VLM
19
1
0
21 Oct 2024
PRCL: Probabilistic Representation Contrastive Learning for
  Semi-Supervised Semantic Segmentation
PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation
Haoyu Xie
Changqi Wang
Jian-jun Zhao
Yang Liu
Jun Dan
Chong Fu
Baigui Sun
SSL
32
8
0
28 Feb 2024
ControlUDA: Controllable Diffusion-assisted Unsupervised Domain
  Adaptation for Cross-Weather Semantic Segmentation
ControlUDA: Controllable Diffusion-assisted Unsupervised Domain Adaptation for Cross-Weather Semantic Segmentation
Fengyi Shen
Li Zhou
Kagan Kucukaytekin
Ziyuan Liu
He Wang
Alois C. Knoll
DiffM
19
2
0
09 Feb 2024
Resilient Practical Test-Time Adaptation: Soft Batch Normalization
  Alignment and Entropy-driven Memory Bank
Resilient Practical Test-Time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bank
Xingzhi Zhou
Zhiliang Tian
Ka Chun Cheung
Simon See
Nevin L. Zhang
26
1
0
26 Jan 2024
SegDA: Maximum Separable Segment Mask with Pseudo Labels for Domain
  Adaptive Semantic Segmentation
SegDA: Maximum Separable Segment Mask with Pseudo Labels for Domain Adaptive Semantic Segmentation
Anant Khandelwal
16
1
0
10 Aug 2023
Test-Time Training on Video Streams
Test-Time Training on Video Streams
Renhao Wang
Yu Sun
Yossi Gandelsman
Xinlei Chen
Alexei A. Efros
Alexei A. Efros
Xiaolong Wang
TTA
ViT
3DGS
24
16
0
11 Jul 2023
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
19
12
0
15 Jun 2023
Condition-Invariant Semantic Segmentation
Condition-Invariant Semantic Segmentation
Christos Sakaridis
David Brüggemann
F. I. F. Richard Yu
Luc Van Gool
47
4
0
27 May 2023
Integrating Multiple Sources Knowledge for Class Asymmetry Domain
  Adaptation Segmentation of Remote Sensing Images
Integrating Multiple Sources Knowledge for Class Asymmetry Domain Adaptation Segmentation of Remote Sensing Images
Kuiliang Gao
Anzhu Yu
Xiong You
Wenyue Guo
Ke Li
Ningbo Huang
23
7
0
17 May 2023
Augmentation-based Domain Generalization for Semantic Segmentation
Augmentation-based Domain Generalization for Semantic Segmentation
Manuel Schwonberg
Fadoua El Bouazati
Nico M. Schmidt
Hanno Gottschalk
29
7
0
24 Apr 2023
Robust Test-Time Adaptation in Dynamic Scenarios
Robust Test-Time Adaptation in Dynamic Scenarios
Longhui Yuan
Binhui Xie
Shuangliang Li
TTA
25
109
0
24 Mar 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
49
1
0
14 Feb 2023
VBLC: Visibility Boosting and Logit-Constraint Learning for Domain
  Adaptive Semantic Segmentation under Adverse Conditions
VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions
Mingjiang Li
Binhui Xie
Shuang Li
Chi Harold Liu
Xinjing Cheng
13
12
0
22 Nov 2022
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain
  Adaptative Semantic Segmentation
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation
Mu Chen
Zhedong Zheng
Yi Yang
Tat-Seng Chua
37
53
0
14 Nov 2022
Boosting Semi-Supervised Semantic Segmentation with Probabilistic
  Representations
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations
Haoyu Xie
Changqi Wang
Mingkai Zheng
Minjing Dong
Shan You
Chong Fu
Chang Xu
SSL
34
14
0
26 Oct 2022
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision
  Transformers for Panoramic Semantic Segmentation
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation
Jiaming Zhang
Kailun Yang
Haowen Shi
Simon Reiß
Kunyu Peng
Chaoxiang Ma
Haodong Fu
Philip H. S. Torr
Kaiwei Wang
Rainer Stiefelhagen
ViT
MDE
24
35
0
25 Jul 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,412
0
11 Nov 2021
Domain Adaptive Semantic Segmentation with Self-Supervised Depth
  Estimation
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation
Qin Wang
Dengxin Dai
Lukas Hoyer
Luc Van Gool
Olga Fink
OOD
MDE
45
138
0
28 Apr 2021
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
119
202
0
27 Apr 2021
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime
  Semantic Segmentation
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
Xinyi Wu
Zhenyao Wu
Haojie Guo
L. Ju
Song Wang
97
143
0
22 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
179
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
174
496
0
08 Mar 2020
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
216
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
244
1,275
0
06 Mar 2017
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