Single-fusion detector: Towards faster multi-scale object detection

• Main Authors: Antioquia, Arren Matthew C., Tan, Daniel Stanley, Azcarraga, Arnulfo, Hua, Kai Lung
• Format: text
• Published: Animo Repository 2019
• Subjects: Image converters; Neural networks (Computer science); Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3022
• Institution: De La Salle University

Despite recent improvements, the arbitrary sizes of objects still impede the predictive ability of object detectors. Recent solutions combine feature maps of different receptive fields to detect multi-scale objects. However, these methods have large computational costs resulting to slower inference...