MobileDA: toward edge-domain adaptation

• Main Authors: Yang, Jianfei, Zou, Han, Cao, Shuxin, Chen, Zhenghua, Xie, Lihua
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Deep Learning; Domain Adaptation
• Online Access: https://hdl.handle.net/10356/162594
• Institution: Nanyang Technological University

Deep neural networks (DNNs) have made significant advances in computer vision and sensor-based smart sensing. DNNs achieve prominent results based on standard data sets and powerful servers, whereas, in real applications with domain-shift data and resource-constrained environments such as Internet-o...