DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-10,Issue-7 ( Jul, 2023 ) | |||||||||
Paper Title |
Integrating Multiple UDA Methods for Effective Transfer Learning in Rad Scene Semantic Segmentation | |||||||||
Author Name |
Chiao-Wen Kao, Hao-Wei Ling, Kuo-Chin Fan | |||||||||
Affilition |
Department of Computer and Communication Engineering, Ming Chuan University, Taoyuan, Taiwan Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan | |||||||||
Pages |
49-53 | |||||||||
Abstract |
This paper presents a transfer learning-based approach to address challenges in deep learning, such as the cost of labeling and performance loss due to domain differences. The proposed architecture, incorporating multiple UDA methods, demonstrates promising results in various experiments, highlighting the potential for practical applications. Keywords - UDA, Style Transfer, Road Scene Semantic Segmentation. | |||||||||
| View Paper | ||||||||||
