Domain Adaptation through Photorealistic Enhanced Images for Semantic Segmentation

Takafumi Katayama, Tian Song, Xiantao Jiang, Jenq-Shiou Leu, Takashi Shimamoto and Adriana del Carmen Téllez-Anguiano

Mathematical Problems in Engineering, 2022, vol. 2022, 1-8

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.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:1848857

DOI: 10.1155/2022/1848857

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