Title

Unsupervised Domain Adaptation for Visual Perception in Various Environments

Alternative Title

다양한 환경에서의 시각적 인식을 위한 비지도 도메인 적응 방법

DGIST Authors

Changjae Kim ; Sunghoon Im ; Kyong Hwan Jin

Advisor

임성훈

Co-Advisor(s)

Kyong Hwan Jin

Issued Date

2023

Awarded Date

2023-02-01

Citation

Changjae Kim. (2023). Unsupervised Domain Adaptation for Visual Perception in Various Environments. doi: 10.22677/THESIS.200000653655

Type

Thesis

Description

Multi-Target Domain Adaptation,Image-to-Image Translation,Semantic Segmentation,Cross-Domain Correspondence Matching,Cross-Domain Feature Consistency

Table Of Contents

Ⅰ. Introduction 1
Ⅱ. Related Work 3
Ⅲ. Proposed Method 5
3.1 Class-Wise Image Translation 6
3.1.1 High-Precision Pseudo labeling 7
3.1.2 Attribute Transfer 8
3.2 Cross-Domain Feature Consistency for Domain Alignment 9
Ⅳ. Experiments 10
4.1 Datasets 10
4.2 Implementation Details 11
4.3 Synthetic-to-Real Adaptation 11
4.4 Real-to-Real Adaptation 18
4.5 Ablation study on Cross-Domain Feature Consistency 20
Ⅴ. Conclusion 21
Ⅵ. References 22
Ⅶ. 요약문 27

URI

http://hdl.handle.net/20.500.11750/45751
http://dgist.dcollection.net/common/orgView/200000653655

DOI

10.22677/THESIS.200000653655

Degree

Master

Department

Department of Electrical Engineering and Computer Science

Publisher

DGIST

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