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Domain Adaptation through Photorealistic Enhanced Images for Semantic Segmentation.
- Source :
- Mathematical Problems in Engineering; 7/15/2022, p1-8, 8p
- Publication Year :
- 2022
-
Abstract
- In this paper, three types of domain adaptation which are defined as image-level domain adaptation, interdomain adaptation, and intradomain adaptation are efficiently combined to construct a high efficiency framework for semantic segmentation. The proposed domain adaptation platform can achieve a high reduction of time-consuming to generate exhausted supervised data in the real world using photorealistic images. The proposed framework achieved a mean Intersection-over-Union (mIoU) of 45.0%. Furthermore, by combining the proposed method with intradomain adaptation, the improvement of 1.2% mIoU is achieved compared to previous work. [ABSTRACT FROM AUTHOR]
- Subjects :
- IMAGE segmentation
PHYSIOLOGICAL adaptation
Subjects
Details
- Language :
- English
- ISSN :
- 1024123X
- Database :
- Complementary Index
- Journal :
- Mathematical Problems in Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 158019878
- Full Text :
- https://doi.org/10.1155/2022/1848857