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

• Main Author: Antioquia, Arren Matthew C.
• Format: text
• Language: English
• Published: Animo Repository 2019
• Subjects: Image converters; Neural networks (Computer science); Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/etd_masteral/6609; https://animorepository.dlsu.edu.ph/context/etd_masteral/article/13597/viewcontent/Antioquia__Arren_Matthew_Capuchino2___Single_Fusion_Detector_Towards_Faster_Multi_Scale_Object_Detection___ANTIOQUIA_Redacted.pdf
• 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 ti...