Precise object detection using adversarially augmented local/global feature fusion

• Main Authors: Han, Xiaobing, He, Tiantian, Ong, Yew-Soon, Zhong, Yanfei
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Engineering::Computer science and engineering::Computing methodologies::Pattern recognition; High Spatial Resolution (HSR) Remote Sensing Imagery; Geospatial Object Detection
• Online Access: https://hdl.handle.net/10356/144375
• Institution: Nanyang Technological University

Object detection, which aims at recognizing or locating the objects of interest in remote sensing imagery with high spatial resolutions (HSR), plays a significant role in many real-world scenarios, e.g., environment monitoring, urban planning, civil infrastructure construction, disaster rescuing, an...