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CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain
  Adaptation

CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation

24 August 2020
Jiahua Dong
Yang Cong
Gan Sun
Yuyang Liu
Xiaowei Xu
ArXivPDFHTML

Papers citing "CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation"

15 / 15 papers shown
Title
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
Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation
Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation
Marvin Klingner
Mouadh Ayache
Tim Fingscheidt
16
12
0
02 Mar 2022
Semi-supervised Domain Adaptive Structure Learning
Semi-supervised Domain Adaptive Structure Learning
Can Qin
Lichen Wang
Qianqian Ma
Yu Yin
Huan Wang
Y. Fu
TTA
42
20
0
12 Dec 2021
Unsupervised Adaptation of Semantic Segmentation Models without Source
  Data
Unsupervised Adaptation of Semantic Segmentation Models without Source Data
S. Paul
Ansh Khurana
Gaurav Aggarwal
OOD
120
7
0
04 Dec 2021
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via
  Regularized Domain Concatenation
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation
Lingdong Kong
N. Quader
Venice Erin Liong
21
48
0
30 Nov 2021
Dynamic Feature Alignment for Semi-supervised Domain Adaptation
Dynamic Feature Alignment for Semi-supervised Domain Adaptation
Yu Zhang
G. Liang
Nathan Jacobs
27
10
0
18 Oct 2021
Stagewise Unsupervised Domain Adaptation with Adversarial Self-Training
  for Road Segmentation of Remote Sensing Images
Stagewise Unsupervised Domain Adaptation with Adversarial Self-Training for Road Segmentation of Remote Sensing Images
Lefei Zhang
Meng Lan
Jing Zhang
Dacheng Tao
26
126
0
28 Aug 2021
Learning Bounds for Open-Set Learning
Learning Bounds for Open-Set Learning
Zhen Fang
Jie Lu
Anjin Liu
Feng Liu
Guangquan Zhang
18
60
0
30 Jun 2021
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Feng Liu
Wenkai Xu
Jie Lu
Danica J. Sutherland
18
19
0
14 Jun 2021
Towards Novel Target Discovery Through Open-Set Domain Adaptation
Towards Novel Target Discovery Through Open-Set Domain Adaptation
Taotao Jing
Hongfu Liu
Zhengming Ding
42
32
0
06 May 2021
Self-supervised Augmentation Consistency for Adapting Semantic
  Segmentation
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation
Nikita Araslanov
Stefan Roth
33
226
0
30 Apr 2021
RTS3D: Real-time Stereo 3D Detection from 4D Feature-Consistency
  Embedding Space for Autonomous Driving
RTS3D: Real-time Stereo 3D Detection from 4D Feature-Consistency Embedding Space for Autonomous Driving
Peixuan Li
S. Su
Huaici Zhao
3DPC
31
33
0
30 Dec 2020
How does the Combined Risk Affect the Performance of Unsupervised Domain
  Adaptation Approaches?
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?
Zhong Li
Zhen Fang
Feng Liu
Jie Lu
Bo Yuan
Guangquan Zhang
25
54
0
30 Dec 2020
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions
  Segmentation
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation
Jiahua Dong
Yang Cong
Gan Sun
Yunsheng Yang
Xiaowei Xu
Zhengming Ding
MedIm
30
36
0
08 Dec 2020
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
233
789
0
26 Aug 2019
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